diff --git a/docs/index.html b/docs/index.html index ffb5b42..3b96445 100644 --- a/docs/index.html +++ b/docs/index.html @@ -2,6 +2,6 @@ - + diff --git a/docs/search.js b/docs/search.js index 8c3209f..c7be4da 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o

\n"}, "timeseries_shaper.base": {"fullname": "timeseries_shaper.base", "modulename": "timeseries_shaper.base", "kind": "module", "doc": "

\n"}, "timeseries_shaper.base.Base": {"fullname": "timeseries_shaper.base.Base", "modulename": "timeseries_shaper.base", "qualname": "Base", "kind": "class", "doc": "

\n"}, "timeseries_shaper.base.Base.__init__": {"fullname": "timeseries_shaper.base.Base.__init__", "modulename": "timeseries_shaper.base", "qualname": "Base.__init__", "kind": "function", "doc": "

Initializes the Base with a DataFrame, detects time columns, converts them to datetime,\nand sorts the DataFrame by the specified column (or the detected time column if applicable).

\n\n

Args:

\n\n
    \n
  • dataframe (pd.DataFrame): The DataFrame to be processed.
    • \n
  • column_name (str): The column to sort by. Default is 'systime'. If the column is not found\nor is not a time column, the class will attempt to detect other time columns.
    • \n
\n", "signature": "(dataframe: pandas.core.frame.DataFrame, column_name: str = 'systime')"}, "timeseries_shaper.base.Base.dataframe": {"fullname": "timeseries_shaper.base.Base.dataframe", "modulename": "timeseries_shaper.base", "qualname": "Base.dataframe", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.base.Base.get_dataframe": {"fullname": "timeseries_shaper.base.Base.get_dataframe", "modulename": "timeseries_shaper.base", "qualname": "Base.get_dataframe", "kind": "function", "doc": "

Returns the processed DataFrame.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator": {"fullname": "timeseries_shaper.calculator", "modulename": "timeseries_shaper.calculator", "kind": "module", "doc": "

\n"}, "timeseries_shaper.calculator.numeric_calc": {"fullname": "timeseries_shaper.calculator.numeric_calc", "modulename": "timeseries_shaper.calculator.numeric_calc", "kind": "module", "doc": "

\n"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc", "kind": "class", "doc": "

Provides class methods for performing calculations on integer columns in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.scale_column", "kind": "function", "doc": "

Scales the integer column by the given factor.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the scaling to.\n factor (float): The scaling factor.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the scaled column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tfactor: float = 1) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.offset_column", "kind": "function", "doc": "

Offsets the integer column by the given value.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the offset to.\n offset_value (float): The value to add (positive) or subtract (negative) from each element in the column.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the offset column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\toffset_value: float = 0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.divide_column", "kind": "function", "doc": "

Divides each value in the integer column by the given divisor.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the division to.\n divisor (float): The value by which to divide each element.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the divided column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tdivisor: float = 1) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.subtract_column", "kind": "function", "doc": "

Subtracts a given value from each element in the integer column.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the subtraction to.\n subtract_value (float): The value to subtract from each element.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the subtracted column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tsubtract_value: float = 0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.calculate_with_fixed_factors", "kind": "function", "doc": "

Performs a calculation by multiplying with a factor and then adding an additional factor.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the calculations to.\n multiply_factor (float): The factor to multiply each value by. Defaults to 1 (no scaling).\n add_factor (float): The value to add after multiplication. Defaults to 0 (no offset).

\n\n

Returns:\n pd.DataFrame: The DataFrame after applying the calculations.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tmultiply_factor: float = 1,\tadd_factor: float = 0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.mod_column", "kind": "function", "doc": "

Performs a modulus operation on the integer column with a specified value.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the modulus operation to.\n mod_value (int): The value to perform the modulus operation with.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the modulus operation applied.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tmod_value: int = 1) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"fullname": "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column", "modulename": "timeseries_shaper.calculator.numeric_calc", "qualname": "IntegerCalc.power_column", "kind": "function", "doc": "

Raises each value in the integer column to the power of a specified value.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame to perform the operation on.\n column_name (str): The column to apply the power operation to.\n power_value (float): The exponent to raise each element to.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the power operation applied.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tpower_value: float = 1) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles": {"fullname": "timeseries_shaper.cycles", "modulename": "timeseries_shaper.cycles", "kind": "module", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor": {"fullname": "timeseries_shaper.cycles.cycle_processor", "modulename": "timeseries_shaper.cycles.cycle_processor", "kind": "module", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor", "kind": "class", "doc": "

A class to process cycle-based data and values. It allows for splitting, merging, and grouping DataFrames \nbased on cycles, as well as handling grouping and transformations by cycle UUIDs.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.__init__", "kind": "function", "doc": "

Initializes the CycleDataProcessor with cycles and values DataFrames.

\n\n
Parameters
\n\n
    \n
  • cycles_df: DataFrame containing columns 'cycle_start', 'cycle_end', and 'cycle_uuid'.
    • \n
  • values_df: DataFrame containing the values and timestamps in the 'systime' column.
    • \n
  • cycle_uuid_col: Name of the column representing cycle UUIDs.
    • \n
  • systime_col: Name of the column representing the timestamps for the values.
    • \n
\n", "signature": "(\tcycles_df: pandas.core.frame.DataFrame,\tvalues_df: pandas.core.frame.DataFrame,\tcycle_uuid_col: str = 'cycle_uuid',\tsystime_col: str = 'systime')"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.values_df", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.cycles_df", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.cycle_uuid_col", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.systime_col", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.split_by_cycle", "kind": "function", "doc": "

Splits the values DataFrame by cycles defined in the cycles DataFrame. \nEach cycle is defined by a start and end time, and the corresponding values are filtered accordingly.

\n\n
Returns
\n\n
\n

Dictionary where keys are cycle_uuids and values are DataFrames with the corresponding cycle data.

\n
\n", "signature": "(self) -> Dict[str, pandas.core.frame.DataFrame]:", "funcdef": "def"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.merge_dataframes_by_cycle", "kind": "function", "doc": "

Merges the values DataFrame with the cycles DataFrame based on the cycle time intervals. \nAppends the 'cycle_uuid' to the values DataFrame.

\n\n
Returns
\n\n
\n

DataFrame with an added 'cycle_uuid' column.

\n
\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.group_by_cycle_uuid", "kind": "function", "doc": "

Group the DataFrame by the cycle_uuid column, resulting in a list of DataFrames, each containing data for one cycle.

\n\n
Parameters
\n\n
    \n
  • data: DataFrame containing the data to be grouped by cycle_uuid. If None, uses the internal values_df.
    • \n
\n\n
Returns
\n\n
\n

List of DataFrames, each containing data for a unique cycle_uuid.

\n
\n", "signature": "(\tself,\tdata: Optional[pandas.core.frame.DataFrame] = None) -> List[pandas.core.frame.DataFrame]:", "funcdef": "def"}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"fullname": "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group", "modulename": "timeseries_shaper.cycles.cycle_processor", "qualname": "CycleDataProcessor.split_dataframes_by_group", "kind": "function", "doc": "

Splits a list of DataFrames by groups based on a specified column. \nThis function performs a groupby operation on each DataFrame in the list and then flattens the result.

\n\n
Parameters
\n\n
    \n
  • dfs: List of DataFrames to be split.
    • \n
  • column: Column name to group by.
    • \n
\n\n
Returns
\n\n
\n

List of DataFrames, each corresponding to a group in the original DataFrames.

\n
\n", "signature": "(\tself,\tdfs: List[pandas.core.frame.DataFrame],\tcolumn: str) -> List[pandas.core.frame.DataFrame]:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor": {"fullname": "timeseries_shaper.cycles.cycles_extractor", "modulename": "timeseries_shaper.cycles.cycles_extractor", "kind": "module", "doc": "

\n"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor", "kind": "class", "doc": "

Class for processing cycles based on different criteria.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.__init__", "kind": "function", "doc": "

Initializes the class with the data and the UUIDs for cycle start and end.

\n", "signature": "(\tdataframe: pandas.core.frame.DataFrame,\tstart_uuid: str,\tend_uuid: Optional[str] = None)"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.df", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.start_uuid", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.end_uuid", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_persistent_cycle", "kind": "function", "doc": "

Processes cycles where the value of the variable stays true during the cycle.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_trigger_cycle", "kind": "function", "doc": "

Processes cycles where the value of the variable goes from true to false during the cycle.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_separate_start_end_cycle", "kind": "function", "doc": "

Processes cycles where different variables indicate cycle start and end.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_step_sequence", "kind": "function", "doc": "

Processes cycles based on a step sequence, where specific integer values denote cycle start and end.

\n", "signature": "(self, start_step: int, end_step: int) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_state_change_cycle", "kind": "function", "doc": "

Processes cycles where the start of a new cycle is the end of the previous cycle.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"fullname": "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle", "modulename": "timeseries_shaper.cycles.cycles_extractor", "qualname": "CycleExtractor.process_value_change_cycle", "kind": "function", "doc": "

Processes cycles where a change in the value indicates a new cycle.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events": {"fullname": "timeseries_shaper.events", "modulename": "timeseries_shaper.events", "kind": "module", "doc": "

\n"}, "timeseries_shaper.events.outlier_detection": {"fullname": "timeseries_shaper.events.outlier_detection", "modulename": "timeseries_shaper.events.outlier_detection", "kind": "module", "doc": "

\n"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents", "kind": "class", "doc": "

Processes time series data to detect outliers based on specified statistical methods.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.__init__", "kind": "function", "doc": "

Initializes the OutlierDetectionEvents with specific attributes for outlier detection.

\n\n

Parameters:\n dataframe (pd.DataFrame): The input time series DataFrame.\n value_column (str): The name of the column containing the values for outlier detection.\n event_uuid (str): A UUID or identifier for detected outlier events.\n time_threshold (str): The time threshold to group close events together.

\n", "signature": "(\tdataframe: pandas.core.frame.DataFrame,\tvalue_column: str,\tevent_uuid: str = 'outlier_event',\ttime_threshold: str = '5min')"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.value_column", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.event_uuid", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.time_threshold", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.detect_outliers_zscore", "kind": "function", "doc": "

Detects outliers using the Z-score method.

\n\n

Parameters:\n threshold (float): The Z-score threshold for detecting outliers.

\n\n

Returns:\n pd.DataFrame: A DataFrame of detected outliers and grouped events.

\n", "signature": "(self, threshold: float = 3.0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"fullname": "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr", "modulename": "timeseries_shaper.events.outlier_detection", "qualname": "OutlierDetectionEvents.detect_outliers_iqr", "kind": "function", "doc": "

Detects outliers using the IQR method.

\n\n

Parameters:\n threshold (tuple): The multipliers for the IQR range for detecting outliers (lower, upper).

\n\n

Returns:\n pd.DataFrame: A DataFrame of detected outliers and grouped events.

\n", "signature": "(self, threshold: tuple = (1.5, 1.5)) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control": {"fullname": "timeseries_shaper.events.statistical_process_control", "modulename": "timeseries_shaper.events.statistical_process_control", "kind": "module", "doc": "

\n"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased", "kind": "class", "doc": "

Inherits from Base and applies SPC rules (Western Electric Rules) to a DataFrame for event detection.\nProcesses data based on control limit UUIDs, actual value UUIDs, and generates events with an event UUID.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.__init__", "kind": "function", "doc": "

Initializes the SPCMonitor with UUIDs for tolerance, actual, and event values.\nInherits the sorted dataframe from the Base class.

\n\n

Parameters:\n dataframe (pd.DataFrame): The input DataFrame containing the data to be processed.\n value_column (str): The column containing the values to monitor.\n tolerance_uuid (str): UUID identifier for rows that set tolerance values.\n actual_uuid (str): UUID identifier for rows containing actual values.\n event_uuid (str): UUID to assign to generated events.

\n", "signature": "(\tdataframe: pandas.core.frame.DataFrame,\tvalue_column: str,\ttolerance_uuid: str,\tactual_uuid: str,\tevent_uuid: str)"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.value_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.tolerance_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.actual_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.event_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.calculate_control_limits", "kind": "function", "doc": "

Calculate the control limits (mean \u00b1 1\u03c3, 2\u03c3, 3\u03c3) for the tolerance values.

\n\n

Returns:\n pd.DataFrame: DataFrame with control limits for each tolerance group.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_1", "kind": "function", "doc": "

Rule 1: One point beyond the 3\u03c3 control limits.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(\tself,\tdf: pandas.core.frame.DataFrame,\tlimits: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_2", "kind": "function", "doc": "

Rule 2: Nine consecutive points on one side of the mean.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(self, df: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_3", "kind": "function", "doc": "

Rule 3: Six consecutive points steadily increasing or decreasing.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(self, df: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_4", "kind": "function", "doc": "

Rule 4: Fourteen consecutive points alternating up and down.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(self, df: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_5", "kind": "function", "doc": "

Rule 5: Two out of three consecutive points near the control limit (beyond 2\u03c3 but within 3\u03c3).

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(\tself,\tdf: pandas.core.frame.DataFrame,\tlimits: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_6", "kind": "function", "doc": "

Rule 6: Four out of five consecutive points near the control limit (beyond 1\u03c3 but within 2\u03c3).

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(\tself,\tdf: pandas.core.frame.DataFrame,\tlimits: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_7", "kind": "function", "doc": "

Rule 7: Fifteen consecutive points within 1\u03c3 of the centerline.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(\tself,\tdf: pandas.core.frame.DataFrame,\tlimits: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.rule_8", "kind": "function", "doc": "

Rule 8: Eight consecutive points on both sides of the mean within 1\u03c3.

\n\n

Returns:\n pd.DataFrame: Filtered DataFrame with rule violations.

\n", "signature": "(\tself,\tdf: pandas.core.frame.DataFrame,\tlimits: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"fullname": "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process", "modulename": "timeseries_shaper.events.statistical_process_control", "qualname": "StatisticalProcessControlRuleBased.process", "kind": "function", "doc": "

Applies the selected SPC rules and generates a DataFrame of events where any rules are violated.

\n\n

Parameters:\n selected_rules (Optional[List[str]]): List of rule names (e.g., ['rule_1', 'rule_3']) to apply.

\n\n

Returns:\n pd.DataFrame: DataFrame with rule violations and detected events.

\n", "signature": "(\tself,\tselected_rules: Optional[List[str]] = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.tolerance_deviation": {"fullname": "timeseries_shaper.events.tolerance_deviation", "modulename": "timeseries_shaper.events.tolerance_deviation", "kind": "module", "doc": "

\n"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents", "kind": "class", "doc": "

Inherits from Base and processes DataFrame data for specific events, comparing tolerance and actual values.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.__init__", "kind": "function", "doc": "

Initializes the ToleranceDeviationEvents with specific event attributes.\nInherits the sorted dataframe from the Base class.

\n", "signature": "(\tdataframe: pandas.core.frame.DataFrame,\ttolerance_column: str,\tactual_column: str,\ttolerance_uuid: str,\tactual_uuid: str,\tevent_uuid: str,\tcompare_func: Callable[[pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series] = <built-in function ge>,\ttime_threshold: str = '5min')"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.tolerance_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.actual_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.tolerance_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.actual_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.event_uuid", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.compare_func", "kind": "variable", "doc": "

\n", "annotation": ": Callable[[pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series]"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.time_threshold", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"fullname": "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events", "modulename": "timeseries_shaper.events.tolerance_deviation", "qualname": "ToleranceDeviationEvents.process_and_group_data_with_events", "kind": "function", "doc": "

Processes DataFrame to apply tolerance checks, group events by time, and generate an events DataFrame.

\n\n

Returns:\n pd.DataFrame: A DataFrame of processed and grouped event data.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.events.value_mapping": {"fullname": "timeseries_shaper.events.value_mapping", "modulename": "timeseries_shaper.events.value_mapping", "kind": "module", "doc": "

\n"}, "timeseries_shaper.events.value_mapping.ValueMapper": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper", "kind": "class", "doc": "

A class to map values from specified columns of a DataFrame using a mapping table (CSV or JSON file),\ninheriting from the Base class.

\n\n

Attributes:\n mapping_table (pd.DataFrame): The table containing the mapping rules.\n map_column (str): The column in the DataFrame to be mapped.\n mapping_key_column (str): The column in the mapping table that contains keys for mapping.\n mapping_value_column (str): The column in the mapping table that contains corresponding values for mapping.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.__init__", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.__init__", "kind": "function", "doc": "

Initializes ValueMapper and the base DataFrame from the Base class.

\n\n

Parameters:\n dataframe (pd.DataFrame): The DataFrame to be processed and mapped.\n mapping_file (str): The file path of the mapping table (CSV or JSON).\n map_column (str): The name of the column in the DataFrame that needs to be mapped.\n mapping_key_column (str): The column in the mapping table to match with values from the DataFrame.\n mapping_value_column (str): The column in the mapping table containing the values to map to.\n file_type (str): The type of the mapping file ('csv' or 'json'). Defaults to 'csv'.\n sep (str): The separator for CSV files. Defaults to ','.\n encoding (str): The encoding to use for reading the file. Defaults to 'utf-8'.\n column_name (str): The name of the column to sort the DataFrame by in the base class. Defaults to 'systime'.

\n", "signature": "(\tdataframe: pandas.core.frame.DataFrame,\tmapping_file: str,\tmap_column: str,\tmapping_key_column: str,\tmapping_value_column: str,\tfile_type: str = 'csv',\tsep: str = ',',\tencoding: str = 'utf-8',\tcolumn_name: str = 'systime')"}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.map_column", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.map_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.mapping_key_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.mapping_value_column", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.sep", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.sep", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.encoding", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.encoding", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.mapping_table", "kind": "variable", "doc": "

\n", "annotation": ": pandas.core.frame.DataFrame"}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"fullname": "timeseries_shaper.events.value_mapping.ValueMapper.map_values", "modulename": "timeseries_shaper.events.value_mapping", "qualname": "ValueMapper.map_values", "kind": "function", "doc": "

Maps values in the specified DataFrame column based on the mapping table.

\n\n

Returns:\n pd.DataFrame: A new DataFrame with the mapped values.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter": {"fullname": "timeseries_shaper.filter", "modulename": "timeseries_shaper.filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.boolean_filter": {"fullname": "timeseries_shaper.filter.boolean_filter", "modulename": "timeseries_shaper.filter.boolean_filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"fullname": "timeseries_shaper.filter.boolean_filter.IsDeltaFilter", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "IsDeltaFilter", "kind": "class", "doc": "

Provides class methods for filtering is_delta columns in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"fullname": "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "IsDeltaFilter.filter_is_delta_true", "kind": "function", "doc": "

Filters rows where 'is_delta' is True.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'is_delta') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"fullname": "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "IsDeltaFilter.filter_is_delta_false", "kind": "function", "doc": "

Filters rows where 'is_delta' is False.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'is_delta') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"fullname": "timeseries_shaper.filter.boolean_filter.BooleanFilter", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "BooleanFilter", "kind": "class", "doc": "

Provides class methods for filtering boolean columns in a pandas DataFrame,\nparticularly focusing on status changes.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"fullname": "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "BooleanFilter.filter_falling_value_bool", "kind": "function", "doc": "

Filters rows where 'value_bool' changes from True to False.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"fullname": "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool", "modulename": "timeseries_shaper.filter.boolean_filter", "qualname": "BooleanFilter.filter_raising_value_bool", "kind": "function", "doc": "

Filters rows where 'value_bool' changes from False to True.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.custom_filter": {"fullname": "timeseries_shaper.filter.custom_filter", "modulename": "timeseries_shaper.filter.custom_filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"fullname": "timeseries_shaper.filter.custom_filter.CustomFilter", "modulename": "timeseries_shaper.filter.custom_filter", "qualname": "CustomFilter", "kind": "class", "doc": "

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"fullname": "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions", "modulename": "timeseries_shaper.filter.custom_filter", "qualname": "CustomFilter.filter_custom_conditions", "kind": "function", "doc": "

Filters the DataFrame based on a set of user-defined conditions passed as a string.

\n\n

This method allows for flexible data filtering by evaluating a condition or multiple conditions\nspecified in the 'conditions' parameter. The conditions must be provided as a string\nthat can be interpreted by pandas' DataFrame.query() method.

\n\n

Args:

\n\n
    \n
  • dataframe (pd.DataFrame): The DataFrame to apply the filter on.
    • \n
  • conditions (str): A string representing the conditions to filter the DataFrame.\nThe string should be formatted according to pandas query syntax.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing only the rows that meet the specified conditions.
    • \n
\n\n

Example:

\n\n

Given a DataFrame 'df' containing columns 'age' and 'score':

\n\n
\n
>>> filtered_data = CustomFilter.filter_custom_conditions(df, "age > 30 and score > 80")\n>>> print(filtered_data)\n
\n
\n\n

Note:

\n\n
    \n
  • Ensure that the column names and values used in conditions match those in the DataFrame.
    • \n
  • Complex expressions and functions available in pandas query syntax can also be used.
    • \n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tconditions: str) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter": {"fullname": "timeseries_shaper.filter.datetime_filter", "modulename": "timeseries_shaper.filter.datetime_filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter", "kind": "class", "doc": "

Provides class methods for filtering time columns in a pandas DataFrame.\nAllows specification of which column to operate on.

\n\n

Inherits from:\n Base (class): Base class with common initializations for DataFrame handling.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_after_date", "kind": "function", "doc": "

Filters the DataFrame to include only rows after the specified date.

\n\n

Args:

\n\n
    \n
  • date (str): The cutoff date in 'YYYY-MM-DD' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is after the specified date.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_after_date(df, "systime", "2023-01-01")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tdate: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_before_date", "kind": "function", "doc": "

Filters the DataFrame to include only rows before the specified date.

\n\n

Args:

\n\n
    \n
  • date (str): The cutoff date in 'YYYY-MM-DD' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is before the specified date.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_before_date(df, "systime", "2023-01-01")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tdate: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_between_dates", "kind": "function", "doc": "

Filters the DataFrame to include only rows between the specified start and end dates.

\n\n

Args:

\n\n
    \n
  • start_date (str): The start date of the interval in 'YYYY-MM-DD' format.
    • \n
  • end_date (str): The end date of the interval in 'YYYY-MM-DD' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is between the specified dates.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_between_dates(df, "systime", "2023-01-01", "2023-02-01")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tstart_date: str = None,\tend_date: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_after_datetime", "kind": "function", "doc": "

Filters the DataFrame to include only rows after the specified datetime.

\n\n

Args:

\n\n
    \n
  • datetime (str): The cutoff datetime in 'YYYY-MM-DD HH:MM:SS' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is after the specified datetime.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_after_datetime(df, "systime", "2023-01-01 12:00:00")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tdatetime: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_before_datetime", "kind": "function", "doc": "

Filters the DataFrame to include only rows before the specified datetime.

\n\n

Args:

\n\n
    \n
  • datetime (str): The cutoff datetime in 'YYYY-MM-DD HH:MM:SS' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is before the specified datetime.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_before_datetime(df, "systime", "2023-01-01 12:00:00")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tdatetime: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"fullname": "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes", "modulename": "timeseries_shaper.filter.datetime_filter", "qualname": "DateTimeFilter.filter_between_datetimes", "kind": "function", "doc": "

Filters the DataFrame to include only rows between the specified start and end datetimes.

\n\n

Args:

\n\n
    \n
  • start_datetime (str): The start datetime of the interval in 'YYYY-MM-DD HH:MM:SS' format.
    • \n
  • end_datetime (str): The end datetime of the interval in 'YYYY-MM-DD HH:MM:SS' format.
    • \n
\n\n

Returns:

\n\n
    \n
  • pd.DataFrame: A DataFrame containing rows where the 'systime' is between the specified datetimes.
    • \n
\n\n

Example:

\n\n
\n
>>> filtered_data = DateTimeFilter.filter_between_datetimes(df, "systime", "2023-01-01 12:00:00", "2023-02-01 12:00:00")\n>>> print(filtered_data)\n
\n
\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tstart_datetime: str = None,\tend_datetime: str = None) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.numeric_filter": {"fullname": "timeseries_shaper.filter.numeric_filter", "modulename": "timeseries_shaper.filter.numeric_filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"fullname": "timeseries_shaper.filter.numeric_filter.IntegerFilter", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "IntegerFilter", "kind": "class", "doc": "

Provides class methods for filtering integer columns in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"fullname": "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "IntegerFilter.filter_value_integer_match", "kind": "function", "doc": "

Filters rows where 'value_integer' matches the specified integer.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tinteger_value: int = 0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"fullname": "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "IntegerFilter.filter_value_integer_not_match", "kind": "function", "doc": "

Filters rows where 'value_integer' does not match the specified integer.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tinteger_value: int = 0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"fullname": "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "IntegerFilter.filter_value_integer_between", "kind": "function", "doc": "

Filters rows where 'value_integer' is between the specified min and max values (inclusive).

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_integer',\tmin_value: int = 0,\tmax_value: int = 100) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"fullname": "timeseries_shaper.filter.numeric_filter.DoubleFilter", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "DoubleFilter", "kind": "class", "doc": "

Provides class methods for filtering double (floating-point) columns in a pandas DataFrame,\nparticularly focusing on NaN values.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"fullname": "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "DoubleFilter.filter_nan_value_double", "kind": "function", "doc": "

Filters out rows where 'value_double' is NaN.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_double') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"fullname": "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between", "modulename": "timeseries_shaper.filter.numeric_filter", "qualname": "DoubleFilter.filter_value_double_between", "kind": "function", "doc": "

Filters rows where 'value_double' is between the specified min and max values (inclusive).

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_double',\tmin_value: float = 0.0,\tmax_value: float = 100.0) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter": {"fullname": "timeseries_shaper.filter.string_filter", "modulename": "timeseries_shaper.filter.string_filter", "kind": "module", "doc": "

\n"}, "timeseries_shaper.filter.string_filter.StringFilter": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter", "kind": "class", "doc": "

A class for filtering operations on string columns within a pandas DataFrame.

\n\n

Provides class methods for operations on string columns.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.filter_na_value_string", "kind": "function", "doc": "

Filters out rows where the specified string column is NA.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.filter_value_string_match", "kind": "function", "doc": "

Filters rows where the specified string column matches the provided string.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tstring_value: str,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.filter_value_string_not_match", "kind": "function", "doc": "

Filters rows where the specified string column does not match the provided string.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tstring_value: str,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.filter_string_contains", "kind": "function", "doc": "

Filters rows where the specified string column contains the provided substring.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tsubstring: str,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.regex_clean_value_string", "kind": "function", "doc": "

Applies a regex pattern to clean the specified string column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string',\tregex_pattern: str = '(\\\\d+)\\\\s*([a-zA-Z]*)',\treplacement: str = '',\tregex: bool = True) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"fullname": "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string", "modulename": "timeseries_shaper.filter.string_filter", "qualname": "StringFilter.detect_changes_in_string", "kind": "function", "doc": "

Detects changes from row to row in the specified string column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.functions": {"fullname": "timeseries_shaper.functions", "modulename": "timeseries_shaper.functions", "kind": "module", "doc": "

\n"}, "timeseries_shaper.functions.lambda_func": {"fullname": "timeseries_shaper.functions.lambda_func", "modulename": "timeseries_shaper.functions.lambda_func", "kind": "module", "doc": "

\n"}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"fullname": "timeseries_shaper.functions.lambda_func.LambdaProcessor", "modulename": "timeseries_shaper.functions.lambda_func", "qualname": "LambdaProcessor", "kind": "class", "doc": "

Provides class methods for applying lambda or callable functions to columns in a pandas DataFrame.\nThis class inherits from Base, ensuring consistency with other processors.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"fullname": "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function", "modulename": "timeseries_shaper.functions.lambda_func", "qualname": "LambdaProcessor.apply_function", "kind": "function", "doc": "

Applies a lambda or callable function to a specified column in the DataFrame.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n column_name (str): The name of the column to apply the function to.\n func (Callable): The lambda function or callable to apply to the column.

\n\n

Returns:\n pd.DataFrame: The DataFrame with the transformed column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str,\tfunc: Callable[[Any], Any]) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.loader": {"fullname": "timeseries_shaper.loader", "modulename": "timeseries_shaper.loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.combine": {"fullname": "timeseries_shaper.loader.combine", "modulename": "timeseries_shaper.loader.combine", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.metadata": {"fullname": "timeseries_shaper.loader.metadata", "modulename": "timeseries_shaper.loader.metadata", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"fullname": "timeseries_shaper.loader.metadata.metadata_api_loader", "modulename": "timeseries_shaper.loader.metadata.metadata_api_loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "qualname": "JsonMetadataLoader", "kind": "class", "doc": "

\n"}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "qualname": "JsonMetadataLoader.__init__", "kind": "function", "doc": "

Initialize the loader with a root directory where JSON files are located.

\n\n
Parameters
\n\n
    \n
  • root_dir: The root directory to search for JSON files.
    • \n
\n", "signature": "(root_dir)"}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "qualname": "JsonMetadataLoader.root_dir", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "qualname": "JsonMetadataLoader.find_json_files", "kind": "function", "doc": "

Recursively find all JSON files in the root directory.

\n\n
Returns
\n\n
\n

A list of file paths to JSON files.

\n
\n", "signature": "(self):", "funcdef": "def"}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"fullname": "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe", "modulename": "timeseries_shaper.loader.metadata.metadata_json_loader", "qualname": "JsonMetadataLoader.load_json_files_to_dataframe", "kind": "function", "doc": "

Load the JSON data into a DataFrame and add filename and last folder as columns.

\n\n
Returns
\n\n
\n

A pandas DataFrame with all JSON data, including the filename and last folder.

\n
\n", "signature": "(self):", "funcdef": "def"}, "timeseries_shaper.loader.timeseries": {"fullname": "timeseries_shaper.loader.timeseries", "modulename": "timeseries_shaper.loader.timeseries", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.timeseries.parquet_loader": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader", "kind": "class", "doc": "

This class loads multiple parquet files from a specified directory structure (YYYY/MM/DD/HH)\nand can also filter files by a list of UUIDs.

\n\n

Args:\n base_path (str or Path): The base directory where the parquet files are stored.

\n"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.__init__", "kind": "function", "doc": "

Initialize the ParquetLoader with the base directory path.

\n", "signature": "(base_path: str)"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.base_path", "kind": "variable", "doc": "

\n"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.load_all_files", "kind": "function", "doc": "

Loads all parquet files into a single pandas DataFrame.

\n\n

Returns:\n pd.DataFrame: A DataFrame containing all the data from the parquet files.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.load_by_time_range", "kind": "function", "doc": "

Loads parquet files based on a specific time range, defined by the folder structure (YYYY/MM/DD/HH).

\n\n

Args:\n start_time (pd.Timestamp): The start timestamp.\n end_time (pd.Timestamp): The end timestamp.

\n\n

Returns:\n pd.DataFrame: A DataFrame containing the data from the parquet files within the time range.

\n", "signature": "(\tself,\tstart_time: pandas._libs.tslibs.timestamps.Timestamp,\tend_time: pandas._libs.tslibs.timestamps.Timestamp) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.load_by_uuid_list", "kind": "function", "doc": "

Loads parquet files based on a list of UUIDs. The UUIDs are expected to be part of the file names.

\n\n

Args:\n uuid_list (list): A list of UUIDs that should be loaded.

\n\n

Returns:\n pd.DataFrame: A DataFrame containing the data from the parquet files with matching UUIDs.

\n", "signature": "(self, uuid_list: list) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"fullname": "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids", "modulename": "timeseries_shaper.loader.timeseries.parquet_loader", "qualname": "ParquetLoader.load_files_by_time_range_and_uuids", "kind": "function", "doc": "

Loads parquet files that fall within a time range and match UUIDs from the list.

\n\n

Args:\n start_time (pd.Timestamp): The start timestamp.\n end_time (pd.Timestamp): The end timestamp.\n uuid_list (list): A list of UUIDs that should be loaded.

\n\n

Returns:\n pd.DataFrame: A DataFrame containing the data from the parquet files that meet both criteria.

\n", "signature": "(\tself,\tstart_time: pandas._libs.tslibs.timestamps.Timestamp,\tend_time: pandas._libs.tslibs.timestamps.Timestamp,\tuuid_list: list) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"fullname": "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader", "modulename": "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.loader.timeseries.timescale_loader": {"fullname": "timeseries_shaper.loader.timeseries.timescale_loader", "modulename": "timeseries_shaper.loader.timeseries.timescale_loader", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats": {"fullname": "timeseries_shaper.stats", "modulename": "timeseries_shaper.stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats.boolean_stats": {"fullname": "timeseries_shaper.stats.boolean_stats", "modulename": "timeseries_shaper.stats.boolean_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics", "kind": "class", "doc": "

Provides class methods to calculate statistics on a boolean column in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.count_true", "kind": "function", "doc": "

Returns the count of True values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.count_false", "kind": "function", "doc": "

Returns the count of False values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.count_null", "kind": "function", "doc": "

Returns the count of null (NaN) values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.count_not_null", "kind": "function", "doc": "

Returns the count of non-null (True or False) values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.true_percentage", "kind": "function", "doc": "

Returns the percentage of True values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> float:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.false_percentage", "kind": "function", "doc": "

Returns the percentage of False values in the boolean column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> float:", "funcdef": "def"}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"fullname": "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary", "modulename": "timeseries_shaper.stats.boolean_stats", "qualname": "BooleanStatistics.summary", "kind": "function", "doc": "

Returns a summary DataFrame with counts and percentages of True, False, and Null values.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_bool') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats": {"fullname": "timeseries_shaper.stats.numeric_stats", "modulename": "timeseries_shaper.stats.numeric_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics", "kind": "class", "doc": "

Provides class methods to calculate statistics on numeric columns in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_mean", "kind": "function", "doc": "

Calculate the mean of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_median", "kind": "function", "doc": "

Calculate the median of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_std", "kind": "function", "doc": "

Calculate the standard deviation of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_variance", "kind": "function", "doc": "

Calculate the variance of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_min", "kind": "function", "doc": "

Calculate the minimum value of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_max", "kind": "function", "doc": "

Calculate the maximum value of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_sum", "kind": "function", "doc": "

Calculate the sum of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_kurtosis", "kind": "function", "doc": "

Calculate the kurtosis of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.column_skewness", "kind": "function", "doc": "

Calculate the skewness of a specified column.

\n", "signature": "(cls, dataframe: pandas.core.frame.DataFrame, column_name: str) -> float:", "funcdef": "def"}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"fullname": "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe", "modulename": "timeseries_shaper.stats.numeric_stats", "qualname": "NumericStatistics.describe", "kind": "function", "doc": "

Provide a statistical summary for numeric columns in the DataFrame.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats": {"fullname": "timeseries_shaper.stats.string_stats", "modulename": "timeseries_shaper.stats.string_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats.string_stats.StringStatistics": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics", "kind": "class", "doc": "

Provides class methods to calculate statistics on string columns in a pandas DataFrame.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.count_unique", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.count_unique", "kind": "function", "doc": "

Returns the number of unique strings in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.most_frequent", "kind": "function", "doc": "

Returns the most frequent string in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> str:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.count_most_frequent", "kind": "function", "doc": "

Returns the count of the most frequent string in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.count_null", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.count_null", "kind": "function", "doc": "

Returns the number of null (NaN) values in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.average_string_length", "kind": "function", "doc": "

Returns the average length of strings in the column, excluding null values.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> float:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.longest_string", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.longest_string", "kind": "function", "doc": "

Returns the longest string in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> str:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.shortest_string", "kind": "function", "doc": "

Returns the shortest string in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> str:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.string_length_summary", "kind": "function", "doc": "

Returns a summary of string lengths, including min, max, and average lengths.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.most_common_n_strings", "kind": "function", "doc": "

Returns the top N most frequent strings in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tn: int,\tcolumn_name: str = 'value_string') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.contains_substring_count", "kind": "function", "doc": "

Counts how many strings contain the specified substring.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tsubstring: str,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.starts_with_count", "kind": "function", "doc": "

Counts how many strings start with the specified prefix.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tprefix: str,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.ends_with_count", "kind": "function", "doc": "

Counts how many strings end with the specified suffix.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tsuffix: str,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.uppercase_percentage", "kind": "function", "doc": "

Returns the percentage of strings that are fully uppercase.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> float:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.lowercase_percentage", "kind": "function", "doc": "

Returns the percentage of strings that are fully lowercase.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> float:", "funcdef": "def"}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"fullname": "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count", "modulename": "timeseries_shaper.stats.string_stats", "qualname": "StringStatistics.contains_digit_count", "kind": "function", "doc": "

Counts how many strings contain digits.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'value_string') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats": {"fullname": "timeseries_shaper.stats.timestamp_stats", "modulename": "timeseries_shaper.stats.timestamp_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics", "kind": "class", "doc": "

Provides class methods to calculate statistics on timestamp columns in a pandas DataFrame.\nThe default column for calculations is 'systime'.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.count_null", "kind": "function", "doc": "

Returns the number of null (NaN) values in the timestamp column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.count_not_null", "kind": "function", "doc": "

Returns the number of non-null (valid) timestamps in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.earliest_timestamp", "kind": "function", "doc": "

Returns the earliest timestamp in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime'):", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.latest_timestamp", "kind": "function", "doc": "

Returns the latest timestamp in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime'):", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.timestamp_range", "kind": "function", "doc": "

Returns the time range (difference) between the earliest and latest timestamps.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime'):", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.most_frequent_timestamp", "kind": "function", "doc": "

Returns the most frequent timestamp in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime'):", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.count_most_frequent_timestamp", "kind": "function", "doc": "

Returns the count of the most frequent timestamp in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.year_distribution", "kind": "function", "doc": "

Returns the distribution of timestamps per year.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.month_distribution", "kind": "function", "doc": "

Returns the distribution of timestamps per month.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.weekday_distribution", "kind": "function", "doc": "

Returns the distribution of timestamps per weekday.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.hour_distribution", "kind": "function", "doc": "

Returns the distribution of timestamps per hour of the day.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.most_frequent_day", "kind": "function", "doc": "

Returns the most frequent day of the week (0=Monday, 6=Sunday).

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.most_frequent_hour", "kind": "function", "doc": "

Returns the most frequent hour of the day (0-23).

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> int:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.average_time_gap", "kind": "function", "doc": "

Returns the average time gap between consecutive timestamps.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas._libs.tslibs.timedeltas.Timedelta:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.median_timestamp", "kind": "function", "doc": "

Returns the median timestamp in the column.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime'):", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.standard_deviation_timestamps", "kind": "function", "doc": "

Returns the standard deviation of the time differences between consecutive timestamps.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas._libs.tslibs.timedeltas.Timedelta:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.timestamp_quartiles", "kind": "function", "doc": "

Returns the 25th, 50th (median), and 75th percentiles of the timestamps.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime') -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"fullname": "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity", "modulename": "timeseries_shaper.stats.timestamp_stats", "qualname": "TimestampStatistics.days_with_most_activity", "kind": "function", "doc": "

Returns the top N days with the most timestamp activity.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\tcolumn_name: str = 'systime',\tn: int = 3) -> pandas.core.series.Series:", "funcdef": "def"}, "timeseries_shaper.time_stats": {"fullname": "timeseries_shaper.time_stats", "modulename": "timeseries_shaper.time_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.time_stats.time_stats_numeric": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "kind": "module", "doc": "

\n"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics", "kind": "class", "doc": "

A class for calculating time-grouped statistics on numeric data, with class methods to apply various statistical functions.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_statistic", "kind": "function", "doc": "

Calculate a specified statistic on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n stat_method (str): The statistical method to apply ('mean', 'sum', 'min', 'max', 'diff', 'range').

\n\n

Returns:\n pd.DataFrame: A DataFrame with the time intervals and the calculated statistics.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tstat_method: str) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_statistics", "kind": "function", "doc": "

Calculate multiple specified statistics on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n stat_methods (list): A list of statistical methods to apply (e.g., ['mean', 'sum', 'diff', 'range']).

\n\n

Returns:\n pd.DataFrame: A DataFrame with the time intervals and the calculated statistics for each method.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tstat_methods: list) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_custom_func", "kind": "function", "doc": "

Apply a custom aggregation function on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n func (callable): Custom function to apply to each group.

\n\n

Returns:\n pd.DataFrame: A DataFrame with the custom calculated statistics.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tfunc) -> pandas.core.frame.DataFrame:", "funcdef": "def"}}, "docInfo": {"timeseries_shaper": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.base": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.base.Base": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.base.Base.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 86}, "timeseries_shaper.base.Base.dataframe": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.base.Base.get_dataframe": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 7}, "timeseries_shaper.calculator": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.calculator.numeric_calc": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 16}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 55}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 67}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 63}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 63}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 118, "bases": 0, "doc": 86}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 67}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 68}, "timeseries_shaper.cycles": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 33}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 84}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 56}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 42}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 74}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 84}, "timeseries_shaper.cycles.cycles_extractor": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 11}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 17}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"qualname": 2, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 16}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 19}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"qualname": 6, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 13}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 19}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 19}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 15}, "timeseries_shaper.events": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.outlier_detection": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 15}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 89, "bases": 0, "doc": 64}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 38}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 41}, "timeseries_shaper.events.statistical_process_control": {"qualname": 0, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"qualname": 1, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 36}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 83}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"qualname": 3, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"qualname": 3, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"qualname": 3, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"qualname": 3, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"qualname": 4, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 30}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 82, "bases": 0, "doc": 23}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 25}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 23}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 23}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 82, "bases": 0, "doc": 31}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 82, "bases": 0, "doc": 31}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 82, "bases": 0, "doc": 24}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 82, "bases": 0, "doc": 27}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"qualname": 2, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 59, "bases": 0, "doc": 54}, "timeseries_shaper.events.tolerance_deviation": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 18}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 214, "bases": 0, "doc": 18}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"qualname": 3, "fullname": 8, "annotation": 13, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"qualname": 7, "fullname": 12, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 32}, "timeseries_shaper.events.value_mapping": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 87}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 170, "bases": 0, "doc": 156}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"qualname": 3, "fullname": 8, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"qualname": 4, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"qualname": 4, "fullname": 9, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"qualname": 2, "fullname": 7, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"qualname": 2, "fullname": 7, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"qualname": 3, "fullname": 8, "annotation": 5, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 28}, "timeseries_shaper.filter": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.boolean_filter": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 15}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 10}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 10}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 19}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 13}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 13}, "timeseries_shaper.filter.custom_filter": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 259}, "timeseries_shaper.filter.datetime_filter": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 38}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 145}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 145}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 182}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 147}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 147}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 186}, "timeseries_shaper.filter.numeric_filter": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 14}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 12}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"qualname": 6, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 14}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 118, "bases": 0, "doc": 17}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 21}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 11}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 17}, "timeseries_shaper.filter.string_filter": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.filter.string_filter.StringFilter": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 26}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 13}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 14}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"qualname": 6, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 16}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 14}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 154, "bases": 0, "doc": 13}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 14}, "timeseries_shaper.functions": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.functions.lambda_func": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 28}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 68}, "timeseries_shaper.loader": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.combine": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"qualname": 0, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"qualname": 0, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"qualname": 1, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 10, "bases": 0, "doc": 37}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"qualname": 4, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 30}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"qualname": 6, "fullname": 13, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 41}, "timeseries_shaper.loader.timeseries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.timeseries.parquet_loader": {"qualname": 0, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"qualname": 1, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 44}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 15, "bases": 0, "doc": 11}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"qualname": 3, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"qualname": 4, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 28}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"qualname": 5, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 57}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"qualname": 5, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 57}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"qualname": 8, "fullname": 14, "annotation": 0, "default_value": 0, "signature": 108, "bases": 0, "doc": 69}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"qualname": 0, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.loader.timeseries.timescale_loader": {"qualname": 0, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats.boolean_stats": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 17}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 13}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 13}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 14}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 17}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 13}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 13}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"qualname": 2, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 17}, "timeseries_shaper.stats.numeric_stats": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 16}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 11}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 11}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 11}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 10}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"qualname": 2, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 56, "bases": 0, "doc": 13}, "timeseries_shaper.stats.string_stats": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats.string_stats.StringStatistics": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 16}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 12}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 11}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 14}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 13}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 15}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 10}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 10}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 15}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 13}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 11}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 12}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 12}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 12}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 12}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 9}, "timeseries_shaper.stats.timestamp_stats": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"qualname": 1, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 23}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 11}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 13}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 15}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 13}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 11}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 10}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"qualname": 4, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 14}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"qualname": 5, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 13}, "timeseries_shaper.time_stats": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.time_stats.time_stats_numeric": {"qualname": 0, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"qualname": 1, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 21}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 105}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 112}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"qualname": 4, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 98}}, "length": 212, "save": true}, "index": {"qualname": {"root": {"1": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}}, "df": 1}, "2": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}}, "df": 1}, "3": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}, "4": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}, "5": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}}, "df": 1}, "6": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 1}, "7": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}}, "df": 1}, "8": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 1}, "docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 9, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base": {"tf": 1}, "timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.dataframe": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}}, "df": 5}}}, "y": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 8}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 4}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 9}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 4}}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1}}, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.dataframe": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}}, "df": 2, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}}, "df": 1}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}}, "df": 4}}}}}}}}}}}, "f": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}}, "df": 3}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.get_dataframe": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 2}}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 16}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 10, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 16}}}}}}}}}}}}}}, "d": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}}, "df": 22}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 3}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}}, "df": 14}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 5}}}}}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 9, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 10}}}}}}}}}}}}}, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 11}}}}}}}}}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 2, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 2}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 7}}}}}}}}}}}}}}}, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 2}}}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 5}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}}, "df": 20}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}}, "df": 3}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 6}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 8}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}}, "df": 4}}}, "x": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 8}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 4}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 15, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 2}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 9}}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 12, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 7, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 19}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 10}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 5}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 4}}, "a": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}}, "df": 1, "n": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}}, "df": 11}}}}}}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 2}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}}}}}}}}}, "fullname": {"root": {"1": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}}, "df": 1}, "2": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}}, "df": 1}, "3": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}, "4": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}, "5": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}}, "df": 1}, "6": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 1}, "7": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}}, "df": 1}, "8": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 1}, "docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 11, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper": {"tf": 1}, "timeseries_shaper.base": {"tf": 1}, "timeseries_shaper.base.Base": {"tf": 1}, "timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.dataframe": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events": {"tf": 1}, "timeseries_shaper.events.outlier_detection": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions": {"tf": 1}, "timeseries_shaper.functions.lambda_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader": {"tf": 1}, "timeseries_shaper.loader.combine": {"tf": 1}, "timeseries_shaper.loader.metadata": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.timescale_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 212}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.timescale_loader": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.stats.timestamp_stats": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 20, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 19}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}}, "df": 3}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 12, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 10}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 1}}}}}, "s": {"3": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1}}, "df": 1}}}}}}, "docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper": {"tf": 1}, "timeseries_shaper.base": {"tf": 1}, "timeseries_shaper.base.Base": {"tf": 1}, "timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.dataframe": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events": {"tf": 1}, "timeseries_shaper.events.outlier_detection": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions": {"tf": 1}, "timeseries_shaper.functions.lambda_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader": {"tf": 1}, "timeseries_shaper.loader.combine": {"tf": 1}, "timeseries_shaper.loader.metadata": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1}, "timeseries_shaper.loader.timeseries.timescale_loader": {"tf": 1}, "timeseries_shaper.stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 212}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 2}}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 17, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 16}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"timeseries_shaper.stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 65}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.string_filter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 25, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 16}}}}}}}}}}}}}}, "d": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base": {"tf": 1}, "timeseries_shaper.base.Base": {"tf": 1.4142135623730951}, "timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.base.Base.dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.boolean_filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.stats.boolean_stats": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 16, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 8}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 4}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 9}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 4}}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1}}, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.dataframe": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 8, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}}, "df": 1}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}}, "df": 4}}}}}}}}}}}, "f": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}}, "df": 3}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.outlier_detection": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 8}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.tolerance_deviation": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 12}}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.get_dataframe": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.calculator.numeric_calc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 9, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 10}}, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 5}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}}, "df": 22}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 17}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 3}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.combine": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}}, "df": 14}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 16, "s": {"docs": {"timeseries_shaper.cycles": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1.4142135623730951}}, "df": 24}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 10}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 11}}}}}}}}}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.filter.custom_filter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 2}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.calculator.numeric_calc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.filter.numeric_filter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.numeric_stats": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 34, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}}, "df": 11}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 5}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 4}}, "a": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}}, "df": 1, "n": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 8, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 7}}}}}}}}}}}}}}}, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 2}}}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 5}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}}, "df": 35}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}}, "df": 3}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.functions": {"tf": 1}, "timeseries_shaper.functions.lambda_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 4}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 6}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 8}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.loader.metadata": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}}, "df": 8}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 10}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}}, "df": 4}}}, "x": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 24, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycle_processor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 11}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 4}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1}}, "df": 9, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 24, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 2}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 9}}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 12, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycles_extractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 12}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.events": {"tf": 1}, "timeseries_shaper.events.outlier_detection": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 47}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}}, "df": 1}}}}}}}}, "z": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 1}}}, "i": {"docs": {"timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.functions.lambda_func": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 3, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 5, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader": {"tf": 1}, "timeseries_shaper.loader.combine": {"tf": 1}, "timeseries_shaper.loader.metadata": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.timescale_loader": {"tf": 1.4142135623730951}}, "df": 21}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}}, "df": 6, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 2}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}}}}}}}}}, "annotation": {"root": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 17, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1}}, "df": 15}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 2.449489742783178}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1}}, "df": 1}}}}}}}}}}}, "default_value": {"root": {"docs": {}, "df": 0}}, "signature": {"root": {"0": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.7320508075688772}}, "df": 8}, "1": {"0": {"0": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.4142135623730951}}, "df": 6}, "3": {"9": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 2}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 2}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 2.449489742783178}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}}, "df": 73}, "docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 2}, "5": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.4142135623730951}}, "df": 1, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 2}}}}, "8": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}, "docs": {"timeseries_shaper.base.Base.__init__": {"tf": 6.324555320336759}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 4.898979485566356}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 8.831760866327848}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 8.831760866327848}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 8.831760866327848}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 8.831760866327848}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 9.643650760992955}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 8.831760866327848}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 8.831760866327848}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 8.94427190999916}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 5.830951894845301}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 7.874007874011811}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 8.06225774829855}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 7.3484692283495345}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 6.324555320336759}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 4.898979485566356}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 8.246211251235321}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 6.164414002968976}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 7}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 7.810249675906654}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 4.898979485566356}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 8.18535277187245}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 6.6332495807108}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 6.6332495807108}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 6.6332495807108}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 8.18535277187245}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 8.18535277187245}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 8.18535277187245}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 8.18535277187245}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 6.928203230275509}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 12.922847983320086}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 4.898979485566356}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 11.357816691600547}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 4.898979485566356}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 7.937253933193772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 7.937253933193772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 7.937253933193772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 7.937253933193772}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 7.416198487095663}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 8.831760866327848}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 8.831760866327848}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 9.643650760992955}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 8.831760866327848}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 8.831760866327848}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 9.643650760992955}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 8.831760866327848}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 8.831760866327848}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 9.643650760992955}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 7.937253933193772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 9.643650760992955}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 7.937253933193772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 8.48528137423857}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 8.48528137423857}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 8.48528137423857}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 10.954451150103322}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 7.937253933193772}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 8.602325267042627}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 3.1622776601683795}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 3.1622776601683795}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 3.4641016151377544}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 4.898979485566356}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 8.774964387392123}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 5.656854249492381}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 9.273618495495704}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 7.14142842854285}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 7.937253933193772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 6.324555320336759}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 6.782329983125268}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 7.937253933193772}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 8.48528137423857}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 7.745966692414834}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 7.745966692414834}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 7.745966692414834}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 7.14142842854285}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 7}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 7}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 7}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 7}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 7.937253933193772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 7.937253933193772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 7.937253933193772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 7.937253933193772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 7.14142842854285}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 8.246211251235321}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 7}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 8.246211251235321}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 7.937253933193772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 8.831760866327848}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 9.055385138137417}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 9.055385138137417}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 8.831760866327848}}, "df": 123, "d": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.7320508075688772}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 119}}}}}}, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}}, "df": 1}}, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1}}, "f": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 9, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 2}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 119}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 2}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 119}}, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 87}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 83}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 119}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 22}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 80}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 9}}}}, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 2.449489742783178}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 93, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 21}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 6}}, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1.4142135623730951}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 27}}}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 31}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 2.449489742783178}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}}, "df": 8}}}}, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 48, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 23, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 10}}}}}}, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 3}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "x": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 6}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 5}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 6}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 7, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 2}}}}}}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 4}}}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 4}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 10}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}, "t": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}, "z": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1, "a": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}, "bases": {"root": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 20}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 20}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}}, "df": 20}}}}}}, "doc": {"root": {"0": {"1": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}}, "df": 6}, "2": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 2}, "docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 3}, "1": {"2": {"docs": {}, "df": 0, ":": {"0": {"0": {"docs": {}, "df": 0, ":": {"0": {"0": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 7}, "2": {"0": {"2": {"3": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 6}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 1}, "5": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}, "docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 4}, "3": {"0": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}, "docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 5}, "4": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}, "5": {"0": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}, "docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}}, "df": 1}, "6": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 2}, "7": {"5": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}, "docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}}, "df": 1}, "8": {"0": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}, "docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 2}, "docs": {"timeseries_shaper": {"tf": 1.7320508075688772}, "timeseries_shaper.base": {"tf": 1.7320508075688772}, "timeseries_shaper.base.Base": {"tf": 1.7320508075688772}, "timeseries_shaper.base.Base.__init__": {"tf": 4.123105625617661}, "timeseries_shaper.base.Base.dataframe": {"tf": 1.7320508075688772}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 3.4641016151377544}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 3.4641016151377544}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 3.4641016151377544}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 3.4641016151377544}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 3.605551275463989}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 3.4641016151377544}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 3.4641016151377544}, "timeseries_shaper.cycles": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 5.385164807134504}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.values_df": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycles_df": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.cycle_uuid_col": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.systime_col": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 3.4641016151377544}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 3.4641016151377544}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 4.795831523312719}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 5.291502622129181}, "timeseries_shaper.cycles.cycles_extractor": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.df": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.start_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.end_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.events": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 3.1622776601683795}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.value_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.event_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.time_threshold": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 3.1622776601683795}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 3.1622776601683795}, "timeseries_shaper.events.statistical_process_control": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 3.3166247903554}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.value_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.tolerance_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.actual_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.event_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 2.6457513110645907}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 2.449489742783178}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 3.4641016151377544}, "timeseries_shaper.events.tolerance_deviation": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.tolerance_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.actual_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.event_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.compare_func": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.time_threshold": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 2.449489742783178}, "timeseries_shaper.events.value_mapping": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 3.1622776601683795}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 3.872983346207417}, "timeseries_shaper.events.value_mapping.ValueMapper.map_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_key_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_value_column": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.sep": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.encoding": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.mapping_table": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 2.449489742783178}, "timeseries_shaper.filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter.CustomFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 9.899494936611665}, "timeseries_shaper.filter.datetime_filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 2.6457513110645907}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 9.1104335791443}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 9.1104335791443}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 9.695359714832659}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 9.1104335791443}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 9.1104335791443}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 9.695359714832659}, "timeseries_shaper.filter.numeric_filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 2.449489742783178}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.7320508075688772}, "timeseries_shaper.functions": {"tf": 1.7320508075688772}, "timeseries_shaper.functions.lambda_func": {"tf": 1.7320508075688772}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1.7320508075688772}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 3.4641016151377544}, "timeseries_shaper.loader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.combine": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_api_loader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_json_loader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 3.7416573867739413}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.root_dir": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 3.4641016151377544}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 3.4641016151377544}, "timeseries_shaper.loader.timeseries": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 2.6457513110645907}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.base_path": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 2.449489742783178}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 3.3166247903554}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 3.1622776601683795}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 3.4641016151377544}, "timeseries_shaper.loader.timeseries.s3proxy_parquet_loader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.timescale_loader": {"tf": 1.7320508075688772}, "timeseries_shaper.stats": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 3.7416573867739413}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 4}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 3.7416573867739413}}, "df": 212, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}}, "df": 55, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 7}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}}, "df": 12}}}, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}}, "df": 2}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}}, "df": 2}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 6}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 6}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 2}}}}}}}}, "f": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 2}, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 17}, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "q": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 3}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 3.1622776601683795}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 3}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 2.8284271247461903}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 2.8284271247461903}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 3}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 3}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 2.6457513110645907}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 2}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 2.23606797749979}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 2}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 2.449489742783178}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2.6457513110645907}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 4.795831523312719}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 3.4641016151377544}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 3.1622776601683795}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 2.449489742783178}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 2.23606797749979}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 3.3166247903554}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 3.1622776601683795}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 3}}, "df": 113, "m": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 4}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 8}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 2}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2}}, "df": 16, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 2}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 10, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 10}}}}}}}}}, "o": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 2.6457513110645907}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 2.449489742783178}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 3.3166247903554}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 2.23606797749979}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2}}, "df": 46, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 4, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "o": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 2.23606797749979}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 3}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 11, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 11}}}}, "y": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 17}, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 9, "y": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 3}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.7320508075688772}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 7}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}}, "df": 8}}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 43, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 7}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 29}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "k": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 2}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2.6457513110645907}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.7320508075688772}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 65, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 4, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 33}, "y": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 2}, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 15, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 23}}, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 7}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 3}}}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.7320508075688772}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}}, "df": 3, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}}, "df": 1}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 2}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 26, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 2.23606797749979}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 2.23606797749979}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 2}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.7320508075688772}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 2}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.6457513110645907}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 3.1622776601683795}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 2.449489742783178}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2.23606797749979}}, "df": 65, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 2}}, "df": 5}}}}}}}, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 2}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 2.23606797749979}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 2}}, "df": 4, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 6}}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}}, "df": 1}}}, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}}, "df": 3}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 2}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 4}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}}, "df": 4}}}}}}}}}}}, "f": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 9, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}}, "df": 3}}}}}, "d": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 6}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 2.449489742783178}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 2}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 2.449489742783178}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 2.23606797749979}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2.23606797749979}}, "df": 61, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 17}}}}}, "n": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 21}}}, "s": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 5}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 9}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 3}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 3}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}}, "df": 6, "s": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 5}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}}, "df": 22}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 17, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}, "n": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 2}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 2.23606797749979}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 2}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 12, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 11}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2}}, "df": 2}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 2, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}}, "df": 4}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 5, "s": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 40}}, "c": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 1}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 2}}}}, "c": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 24, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 17, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 9}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}}, "df": 11}}, "y": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}}, "df": 1}}, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 5}}, "s": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 8}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 10}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}}, "df": 1}, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}}, "df": 2}}}}}}}, "m": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}}, "df": 3}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 2}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 1}}}, "x": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 3}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}}, "df": 1}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}}, "df": 11, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 33, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 7}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 2.23606797749979}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 8, "s": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "f": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_std": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_sum": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_skewness": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 65, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.7320508075688772}}, "df": 3}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 41}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 5}, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 10}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 12}, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}}, "df": 4}}}}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}}, "df": 4, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 4, "s": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}}, "df": 15}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 10}}}}}}}, "t": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}}, "df": 2}}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 5, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.__init__": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 2}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 7}}}}}}, "n": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 2, "a": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 16, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 3}}}, "n": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}}, "df": 5}}, "o": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}}, "df": 3, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}, "n": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 2, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 3}, "a": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 7}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 6}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 4}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.base.Base.__init__": {"tf": 1}}, "df": 1}}, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1.4142135623730951}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.describe": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 30, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 6, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 2.23606797749979}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}}, "df": 8}}, "l": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 19}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 7}, "c": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}}, "df": 8, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 16}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}}, "df": 7}}}, "s": {"docs": {"timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}}, "df": 20}}}}, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.23606797749979}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 4, "s": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 8}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 1}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 3}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 2}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.base.Base.get_dataframe": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.shortest_string": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.weekday_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.standard_deviation_timestamps": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 79}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.regex_clean_value_string": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 6}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 2}}, "df": 9, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.7320508075688772}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"timeseries_shaper.filter.string_filter.StringFilter.detect_changes_in_string": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_true": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter.filter_is_delta_false": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_na_value_string": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_string_contains": {"tf": 1}}, "df": 21}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}}, "df": 2}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 5, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.IsDeltaFilter": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}}, "df": 15}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_mean": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 6}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_median": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.median_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_quartiles": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 2}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.month_distribution": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_most_frequent": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.most_common_n_strings": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_most_frequent_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_day": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.days_with_most_activity": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 3}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 2.6457513110645907}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_not_match": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 5, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.string_filter.StringFilter.filter_value_string_match": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 1}}}}}}, "x": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 4}}}, "m": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 6}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.scale_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 5}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 8, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 8}}, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}, "b": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 2}, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 2.8284271247461903}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 2.449489742783178}}, "df": 7}, "a": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.average_time_gap": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.mod_column": {"tf": 1.7320508075688772}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_value_change_cycle": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_falling_value_bool": {"tf": 1}, "timeseries_shaper.filter.boolean_filter.BooleanFilter.filter_raising_value_bool": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_not_match": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_nan_value_double": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_min": {"tf": 1}, "timeseries_shaper.stats.numeric_stats.NumericStatistics.column_max": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 26, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 2}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1.7320508075688772}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.value_mapping.ValueMapper.map_values": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.IntegerFilter.filter_value_integer_between": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter": {"tf": 1}, "timeseries_shaper.filter.numeric_filter.DoubleFilter.filter_value_double_between": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_true": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_false": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.count_not_null": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.true_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.false_percentage": {"tf": 1}, "timeseries_shaper.stats.boolean_stats.BooleanStatistics.summary": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_null": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_null": {"tf": 1}}, "df": 27}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.count_not_null": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_persistent_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_trigger_cycle": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_variance": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_2": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_3": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_7": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 9}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.calculate_with_fixed_factors": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 11}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.earliest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.offset_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.divide_column": {"tf": 1}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.subtract_column": {"tf": 1.4142135623730951}, "timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 4}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}}, "df": 1}}}}}}}, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.calculator.numeric_calc.IntegerCalc.power_column": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1}}, "df": 7}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_separate_start_end_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_step_sequence": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.process_state_change_cycle": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.7320508075688772}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.7320508075688772}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}}, "df": 11}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.__init__": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1}}, "df": 5, "s": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1.4142135623730951}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents": {"tf": 1}, "timeseries_shaper.events.tolerance_deviation.ToleranceDeviationEvents.process_and_group_data_with_events": {"tf": 1.4142135623730951}}, "df": 8}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_8": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter": {"tf": 1}}, "df": 2}}}}}}}, "h": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.contains_substring_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.starts_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.ends_with_count": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.contains_digit_count": {"tf": 1}}, "df": 4}, "u": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.hour_distribution": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.most_frequent_hour": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.merge_dataframes_by_cycle": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.7320508075688772}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 2.449489742783178}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 8, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.__init__": {"tf": 1}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.cycles.cycles_extractor.CycleExtractor.__init__": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.__init__": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1.4142135623730951}}, "df": 9}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}}, "df": 1}, "r": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1}}, "df": 1}, "d": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1}, "timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1}, "timeseries_shaper.stats.string_stats.StringStatistics.count_unique": {"tf": 1}}, "df": 2}}}}}, "p": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_4": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.uppercase_percentage": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_by_cycle": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.stats.numeric_stats.NumericStatistics.column_kurtosis": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.group_by_cycle_uuid": {"tf": 1.4142135623730951}, "timeseries_shaper.cycles.cycle_processor.CycleDataProcessor.split_dataframes_by_group": {"tf": 2}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.process": {"tf": 1}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 2}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}}, "df": 8}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_5": {"tf": 1}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_6": {"tf": 1}}, "df": 3, "s": {"docs": {"timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.calculate_control_limits": {"tf": 1.4142135623730951}, "timeseries_shaper.events.statistical_process_control.StatisticalProcessControlRuleBased.rule_1": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_iqr": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.lowercase_percentage": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1}, "d": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 2}}, "s": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_all_files": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_uuid_list": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_files_by_time_range_and_uuids": {"tf": 1}}, "df": 5}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.longest_string": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.functions.lambda_func.LambdaProcessor": {"tf": 1}, "timeseries_shaper.functions.lambda_func.LambdaProcessor.apply_function": {"tf": 1.4142135623730951}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.latest_timestamp": {"tf": 1}, "timeseries_shaper.stats.timestamp_stats.TimestampStatistics.timestamp_range": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.average_string_length": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.stats.string_stats.StringStatistics.string_length_summary": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "z": {"docs": {"timeseries_shaper.events.outlier_detection.OutlierDetectionEvents.detect_outliers_zscore": {"tf": 1.4142135623730951}}, "df": 1}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.events.value_mapping.ValueMapper": {"tf": 1}, "timeseries_shaper.events.value_mapping.ValueMapper.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.__init__": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.find_json_files": {"tf": 1.4142135623730951}, "timeseries_shaper.loader.metadata.metadata_json_loader.JsonMetadataLoader.load_json_files_to_dataframe": {"tf": 1.4142135623730951}}, "df": 5}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.7320508075688772}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.filter.custom_filter.CustomFilter.filter_custom_conditions": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 2.449489742783178}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 2}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 2.449489742783178}}, "df": 7}}}}, "y": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_date": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_dates": {"tf": 1.4142135623730951}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_after_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_before_datetime": {"tf": 1}, "timeseries_shaper.filter.datetime_filter.DateTimeFilter.filter_between_datetimes": {"tf": 1.4142135623730951}}, "df": 6, "/": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader": {"tf": 1}, "timeseries_shaper.loader.timeseries.parquet_loader.ParquetLoader.load_by_time_range": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.stats.timestamp_stats.TimestampStatistics.year_distribution": {"tf": 1}}, "df": 1}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; + /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"timeseries_shaper.time_stats": {"fullname": "timeseries_shaper.time_stats", "modulename": "timeseries_shaper.time_stats", "kind": "module", "doc": "

\n"}, "timeseries_shaper.time_stats.time_stats_numeric": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "kind": "module", "doc": "

\n"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics", "kind": "class", "doc": "

A class for calculating time-grouped statistics on numeric data, with class methods to apply various statistical functions.

\n", "bases": "timeseries_shaper.base.Base"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_statistic", "kind": "function", "doc": "

Calculate a specified statistic on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n stat_method (str): The statistical method to apply ('mean', 'sum', 'min', 'max', 'diff', 'range').

\n\n

Returns:\n pd.DataFrame: A DataFrame with the time intervals and the calculated statistics.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tstat_method: str) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_statistics", "kind": "function", "doc": "

Calculate multiple specified statistics on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n stat_methods (list): A list of statistical methods to apply (e.g., ['mean', 'sum', 'diff', 'range']).

\n\n

Returns:\n pd.DataFrame: A DataFrame with the time intervals and the calculated statistics for each method.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tstat_methods: list) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"fullname": "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func", "modulename": "timeseries_shaper.time_stats.time_stats_numeric", "qualname": "TimeGroupedStatistics.calculate_custom_func", "kind": "function", "doc": "

Apply a custom aggregation function on the value column over the grouped time intervals.

\n\n

Args:\n dataframe (pd.DataFrame): The DataFrame containing the data.\n time_column (str): The name of the time column to group and sort by.\n value_column (str): The name of the numeric column to calculate statistics on.\n freq (str): Frequency string for time grouping (e.g., 'H' for hourly, 'D' for daily).\n func (callable): Custom function to apply to each group.

\n\n

Returns:\n pd.DataFrame: A DataFrame with the custom calculated statistics.

\n", "signature": "(\tcls,\tdataframe: pandas.core.frame.DataFrame,\ttime_column: str,\tvalue_column: str,\tfreq: str,\tfunc) -> pandas.core.frame.DataFrame:", "funcdef": "def"}}, "docInfo": {"timeseries_shaper.time_stats": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.time_stats.time_stats_numeric": {"qualname": 0, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"qualname": 1, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 21}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 105}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"qualname": 3, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 112}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"qualname": 4, "fullname": 11, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 98}}, "length": 6, "save": true}, "index": {"qualname": {"root": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}, "fullname": {"root": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 6, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 6}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 6}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 5}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}, "annotation": {"root": {"docs": {}, "df": 0}}, "default_value": {"root": {"docs": {}, "df": 0}}, "signature": {"root": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 9.055385138137417}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 9.055385138137417}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 8.831760866327848}}, "df": 3, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 3}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 3}, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}, "bases": {"root": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "doc": {"root": {"docs": {"timeseries_shaper.time_stats": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 3.7416573867739413}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 4}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 3.7416573867739413}}, "df": 6, "a": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 4, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 4}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2.23606797749979}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2}}, "df": 4}}}, "o": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2}}, "df": 4}, "h": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 3.3166247903554}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 3.1622776601683795}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 3}}, "df": 3}}}, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 4}, "a": {"docs": {}, "df": 0, "l": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 3}}}}}}}}}, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.7320508075688772}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 4}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}, "f": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.7320508075688772}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}}}, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 2.23606797749979}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 2.23606797749979}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 4}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 1}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1.4142135623730951}}, "df": 3}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 2}}}}, "h": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistic": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1}, "timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_custom_func": {"tf": 1}}, "df": 3}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"timeseries_shaper.time_stats.time_stats_numeric.TimeGroupedStatistics.calculate_statistics": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; // mirrored in build-search-index.js (part 1) // Also split on html tags. this is a cheap heuristic, but good enough. diff --git a/docs/timeseries_shaper/base.html b/docs/timeseries_shaper/base.html index d44859d..a7ed13b 100644 --- a/docs/timeseries_shaper/base.html +++ b/docs/timeseries_shaper/base.html @@ -16,16 +16,9 @@