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Tables Feature - Added the `create_table` method, which returns a `Table` object. This can be used to display watchlists, order windows, position windows and more. - See the new page on the docs for more information! Bugs - Fixed a bug preventing the named column of a line to not work as a label of the series. - Fixed a bug causing drawings loaded from the minute timeframe to not show on a daily timeframe. - Fixed a bug causing `chart.exit` to not work. - Fixed a bug preventing the chart from being moved after placing a ray. - Fixed the ‘price in hoveringOver’ web console error. Enhancements - The date/time column can also be the `name` of the passed series object. - Added the `label` method to `HorizontalLine`, allowing for the price line label of horizontal lines to be updated. - `None` or an empty DataFrame can now be passed to `line.set` as a means to clear it. - Seperate Chart objects will now run on the same pywebview instance. This means that any Chart objects created after the first will inherit the first Chart’s API. - Reorganized the documentation for clarity.
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[![PyPi Release](https://img.shields.io/pypi/v/lightweight-charts?color=32a852&label=PyPi)](https://pypi.org/project/lightweight-charts/) | ||
[![Made with Python](https://img.shields.io/badge/Python-3.8+-c7a002?logo=python&logoColor=white)](https://python.org "Go to Python homepage") | ||
[![License](https://img.shields.io/github/license/louisnw01/lightweight-charts-python?color=9c2400)](https://github.com/louisnw01/lightweight-charts-python/blob/main/LICENSE) | ||
[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html) | ||
[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html) | ||
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![cover](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/cover.png) | ||
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1. Simple and easy to use. | ||
2. Blocking or non-blocking GUI. | ||
3. Streamlined for live data, with methods for updating directly from tick data. | ||
4. Multi-Pane Charts using the [`SubChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#subchart). | ||
4. Multi-Pane Charts using the [`SubChart`](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html#create-subchart-subchart). | ||
5. The Toolbox, allowing for trendlines, rays and horizontal lines to be drawn directly onto charts. | ||
6. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#callbacks) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, and more. | ||
6. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/callbacks.html) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, hotkeys, and more. | ||
7. Tables for watchlists, order entry, and trade management. | ||
7. Direct integration of market data through [Polygon.io's](https://polygon.io/?utm_source=affiliate&utm_campaign=pythonlwcharts) market data API. | ||
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__Supports:__ Jupyter Notebooks, PyQt, wxPython, Streamlit, and asyncio. | ||
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### 6. Callbacks: | ||
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```python | ||
import asyncio | ||
import pandas as pd | ||
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from lightweight_charts import Chart | ||
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def get_bar_data(symbol, timeframe): | ||
if symbol not in ('AAPL', 'GOOGL', 'TSLA'): | ||
print(f'No data for "{symbol}"') | ||
return pd.DataFrame() | ||
return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv') | ||
return pd.read_csv(f'../examples/6_callbacks/bar_data/{symbol}_{timeframe}.csv') | ||
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class API: | ||
def __init__(self): | ||
self.chart = None # Changes after each callback. | ||
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async def on_search(self, searched_string): # Called when the user searches. | ||
def on_search(self, searched_string): # Called when the user searches. | ||
new_data = get_bar_data(searched_string, self.chart.topbar['timeframe'].value) | ||
if new_data.empty: | ||
return | ||
self.chart.topbar['corner'].set(searched_string) | ||
self.chart.topbar['symbol'].set(searched_string) | ||
self.chart.set(new_data) | ||
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async def on_timeframe_selection(self): # Called when the user changes the timeframe. | ||
new_data = get_bar_data(self.chart.topbar['corner'].value, self.chart.topbar['timeframe'].value) | ||
def on_timeframe_selection(self): # Called when the user changes the timeframe. | ||
new_data = get_bar_data(self.chart.topbar['symbol'].value, self.chart.topbar['timeframe'].value) | ||
if new_data.empty: | ||
return | ||
self.chart.set(new_data) | ||
async def on_horizontal_line_move(self, line_id, price): | ||
self.chart.set(new_data, True) | ||
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def on_horizontal_line_move(self, line_id, price): | ||
print(f'Horizontal line moved to: {price}') | ||
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async def main(): | ||
if __name__ == '__main__': | ||
api = API() | ||
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chart = Chart(api=api, topbar=True, searchbox=True, toolbox=True) | ||
chart.legend(True) | ||
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chart.topbar.textbox('corner', 'TSLA') | ||
chart.topbar.textbox('symbol', 'TSLA') | ||
chart.topbar.switcher('timeframe', api.on_timeframe_selection, '1min', '5min', '30min', default='5min') | ||
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df = get_bar_data('TSLA', '5min') | ||
chart.set(df) | ||
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chart.horizontal_line(200, interactive=True) | ||
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await chart.show_async(block=True) | ||
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chart.horizontal_line(200, interactive=True) | ||
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if __name__ == '__main__': | ||
asyncio.run(main()) | ||
chart.show(block=True) | ||
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``` | ||
![callbacks gif](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/6_callbacks/callbacks.gif) | ||
___ | ||
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<div align="center"> | ||
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[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html) | ||
[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html) | ||
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Inquiries: [[email protected]](mailto:[email protected]) | ||
___ | ||
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# Callbacks | ||
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The `Chart` object allows for asynchronous and synchronous callbacks to be passed back to python, allowing for more sophisticated chart layouts including searching, timeframe selectors text boxes, and hotkeys using the `add_hotkey` method. | ||
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`QtChart`and `WxChart` can also use callbacks. | ||
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A variety of the parameters below should be passed to the Chart upon decaration. | ||
* `api`: The class object that the fixed callbacks will always be emitted to. | ||
* `topbar`: Adds a [TopBar](#topbar) to the `Chart` or `SubChart` and allows use of the `create_switcher` method. | ||
* `searchbox`: Adds a search box onto the `Chart` or `SubChart` that is activated by typing. | ||
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___ | ||
## How to use Callbacks | ||
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Fixed Callbacks are emitted to the class given as the `api` parameter shown above. | ||
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Take a look at this minimal example: | ||
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```python | ||
class API: | ||
def __init__(self): | ||
self.chart = None | ||
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def on_search(self, string): | ||
print(f'Search Text: "{string}" | Chart/SubChart ID: "{self.chart.id}"') | ||
``` | ||
Upon searching in a pane, the expected output would be akin to: | ||
``` | ||
Search Text: "AAPL" | Chart/SubChart ID: "window.blyjagcr" | ||
``` | ||
The ID shown above will change depending upon which pane was used to search, due to the instance of `self.chart` dynamically updating to the latest pane which triggered the callback. | ||
`self.chart` will update upon each callback, allowing for access to the specific pane in question. | ||
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```{important} | ||
* When using `show` rather than `show_async`, block should be set to `True` (`chart.show(block=True)`). | ||
* `API` class methods can be either coroutines or normal methods. | ||
* Non fixed callbacks (switchers, hotkeys) can be methods, coroutines, or regular functions. | ||
``` | ||
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There are certain callbacks which are always emitted to a specifically named method of API: | ||
* Search callbacks: `on_search` | ||
* Interactive Horizontal Line callbacks: `on_horizontal_line_move` | ||
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___ | ||
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## `TopBar` | ||
The `TopBar` class represents the top bar shown on the chart when using callbacks: | ||
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![topbar](https://i.imgur.com/Qu2FW9Y.png) | ||
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This class is accessed from the `topbar` attribute of the chart object (`chart.topbar.<method>`), after setting the topbar parameter to `True` upon declaration of the chart. | ||
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Switchers and text boxes can be created within the top bar, and their instances can be accessed through the `topbar` dictionary. For example: | ||
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```python | ||
chart = Chart(api=api, topbar=True) | ||
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chart.topbar.textbox('symbol', 'AAPL') # Declares a textbox displaying 'AAPL'. | ||
print(chart.topbar['symbol'].value) # Prints the value within ('AAPL') | ||
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chart.topbar['symbol'].set('MSFT') # Sets the 'symbol' textbox to 'MSFT' | ||
print(chart.topbar['symbol'].value) # Prints the value again ('MSFT') | ||
``` | ||
___ | ||
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### `switcher` | ||
`name: str` | `method: function` | `*options: str` | `default: str` | ||
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* `name`: the name of the switcher which can be used to access it from the `topbar` dictionary. | ||
* `method`: The function from the `api` class given to the constructor that will receive the callback. | ||
* `options`: The strings to be displayed within the switcher. This may be a variety of timeframes, security types, or whatever needs to be updated directly from the chart. | ||
* `default`: The initial switcher option set. | ||
___ | ||
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### `textbox` | ||
`name: str` | `initial_text: str` | ||
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* `name`: the name of the text box which can be used to access it from the `topbar` dictionary. | ||
* `initial_text`: The text to show within the text box. | ||
___ | ||
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## Callbacks Example: | ||
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```python | ||
import pandas as pd | ||
from lightweight_charts import Chart | ||
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def get_bar_data(symbol, timeframe): | ||
if symbol not in ('AAPL', 'GOOGL', 'TSLA'): | ||
print(f'No data for "{symbol}"') | ||
return pd.DataFrame() | ||
return pd.read_csv(f'../examples/6_callbacks/bar_data/{symbol}_{timeframe}.csv') | ||
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class API: | ||
def __init__(self): | ||
self.chart = None # Changes after each callback. | ||
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def on_search(self, searched_string): # Called when the user searches. | ||
new_data = get_bar_data(searched_string, self.chart.topbar['timeframe'].value) | ||
if new_data.empty: | ||
return | ||
self.chart.topbar['symbol'].set(searched_string) | ||
self.chart.set(new_data) | ||
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def on_timeframe_selection(self): # Called when the user changes the timeframe. | ||
new_data = get_bar_data(self.chart.topbar['symbol'].value, self.chart.topbar['timeframe'].value) | ||
if new_data.empty: | ||
return | ||
self.chart.set(new_data, True) | ||
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def on_horizontal_line_move(self, line_id, price): | ||
print(f'Horizontal line moved to: {price}') | ||
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if __name__ == '__main__': | ||
api = API() | ||
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chart = Chart(api=api, topbar=True, searchbox=True, toolbox=True) | ||
chart.legend(True) | ||
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chart.topbar.textbox('symbol', 'TSLA') | ||
chart.topbar.switcher('timeframe', api.on_timeframe_selection, '1min', '5min', '30min', default='5min') | ||
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df = get_bar_data('TSLA', '5min') | ||
chart.set(df) | ||
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chart.horizontal_line(200, interactive=True) | ||
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chart.show(block=True) | ||
``` |
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