ValueError: Shape of passed values is (2, X), indices imply (2, Y)

[w1ld3r]

I was getting this error:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/threading.py", line 916, in _bootstrap_inner
    self.run()
  File "app.py", line 94, in run
    self.behaviour.run(self.market_data, self.settings['output_mode'])
  File "/app/behaviour.py", line 66, in run
    new_result = self._test_strategies(market_data, output_mode)
  File "/app/behaviour.py", line 161, in _test_strategies
    new_result[exchange][market_pair]
  File "/app/behaviour.py", line 356, in _get_crossover_results
    'result': crossover_dispatcher[crossover](**dispatcher_args),
  File "/app/analyzers/crossover.py", line 44, in analyze
    combined_data = pandas.concat([new_key_indicator, new_crossed_indicator], axis=1)
  File "/usr/local/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 213, in concat
    return op.get_result()
  File "/usr/local/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 408, in get_result
    copy=self.copy)
  File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 5207, in concatenate_block_managers
    return BlockManager(blocks, axes)
  File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 3033, in __init__
    self._verify_integrity()
  File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 3244, in _verify_integrity
    construction_error(tot_items, block.shape[1:], self.axes)
  File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 4608, in construction_error
    passed, implied))
ValueError: Shape of passed values is (2, 145), indices imply (2, 142)

I've modified crossover.py to correct the error but I don't know if it's the proper way:

""" Crossover analysis indicator
"""

import numpy
import pandas
from talib import abstract

from analyzers.utils import IndicatorUtils


class CrossOver(IndicatorUtils):
    def analyze(self, key_indicator, key_signal, key_indicator_index,
                crossed_indicator, crossed_signal, crossed_indicator_index):
        """ Tests for key_indicator crossing over the crossed_indicator.

        Args:
            key_indicator (pandas.DataFrame): A dataframe containing the results of the analysis
                for the selected key indicator.
            key_signal (str): The name of the key indicator.
            key_indicator_index (int): The configuration index of the key indicator to use.
            crossed_indicator (pandas.DataFrame): A dataframe containing the results of the
                analysis for the selected indicator to test for a cross.
            crossed_signal (str): The name of the indicator expecting to be crossed.
            crossed_indicator_index (int): The configuration index of the crossed indicator to use.

        Returns:
            pandas.DataFrame: A dataframe containing the indicators and hot/cold values.
        """

        key_indicator_name = '{}_{}'.format(key_signal, key_indicator_index)
        new_key_indicator = key_indicator.copy(deep=True)
        for column in new_key_indicator:
            column_indexed_name = '{}_{}'.format(column, key_indicator_index)
            new_key_indicator.rename(columns={column: column_indexed_name}, inplace=True)

        length = new_key_indicator.shape()
        crossed_indicator_name = '{}_{}'.format(crossed_signal, crossed_indicator_index)
        new_crossed_indicator = crossed_indicator[:length[1]].copy(deep=True)
        for column in new_crossed_indicator:
            column_indexed_name = '{}_{}'.format(column, crossed_indicator_index)
            new_crossed_indicator.rename(columns={column: column_indexed_name}, inplace=True)

        combined_data = pandas.concat([new_key_indicator, new_crossed_indicator], axis=1)
        combined_data.dropna(how='any', inplace=True)

        combined_data['is_hot'] = combined_data[key_indicator_name] > combined_data[crossed_indicator_name]
        combined_data['is_cold'] = combined_data[key_indicator_name] < combined_data[crossed_indicator_name]

        return combined_data

[laliux]

I do not recommend the use of this indicator, it is better to use "ma_crossover" which is simpler to configure and use.

Just to know, what is your use case of this indicator?

[w1ld3r]

Humm ok, I was looking in the config doc...
I want to set an alert when MA 50 cross MA 120 and another one using ichimoku.