- Moved ChartAsync’s methods into the Chart object.
- Removed ChartAsync.
- Added the `show_async` method to `Chart`.
- Refactored how the TopBar is used. The docs explain this in detail, but a basic rundown is:
- `corner_text` and `create_switcher` are no longer methods. The `topbar` attribute of `chart` should be used instead.
- switchers and textboxes, now created with `chart.topbar.textbox` and `chart.topbar.switcher` require a name to be passed to them, which is used to access its instance (e.g `chart.topbar[‘timeframe’]`)
- If you have any questions about these changes, or potential enhancements, feel free to raise an issue and I will get back to you ASAP :)
- PtQt and Wx can now use either synchronous or asynchronous callback functions
- BETA: Support for Jupyter Notebooks
- Fixed a bug causing the ‘date’ column of DataFrames passed to `set`, `update`, and `update_from_tick` to be modified.
This commit is contained in:
louisnw
88
README.md
88
README.md
@ -7,16 +7,17 @@
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[](https://github.com/louisnw01/lightweight-charts-python/blob/main/LICENSE)
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[](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html)
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lightweight-charts-python aims to provide a simple and pythonic way to access and implement [TradingView's Lightweight Charts](https://www.tradingview.com/lightweight-charts/).
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</div>
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## Installation
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```
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pip install lightweight-charts
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```
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* White screen? Having issues with pywebview? Click [here](https://github.com/louisnw01/lightweight-charts-python/issues?q=label%3A%22pywebview+issue%22+).
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___
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## Features
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@ -28,7 +29,8 @@ ___
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* wxPython
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* Streamlit
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* asyncio
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5. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#chartasync) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, and more.
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* Jupyter Notebooks using the [JupyterChart](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#jupyterchart)
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5. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#callbacks) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, and more.
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6. Multi-Pane Charts using the `SubChart` ([examples](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#subchart)).
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___
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@ -125,27 +127,27 @@ from lightweight_charts import Chart
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def calculate_sma(data: pd.DataFrame, period: int = 50):
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def avg(d: pd.DataFrame):
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return d['close'].mean()
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result = []
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for i in range(period - 1, len(data)):
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val = avg(data.iloc[i - period + 1:i])
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result.append({'time': data.iloc[i]['date'], 'value': val})
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return pd.DataFrame(result)
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def avg(d: pd.DataFrame):
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return d['close'].mean()
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result = []
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for i in range(period - 1, len(data)):
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val = avg(data.iloc[i - period + 1:i])
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result.append({'time': data.iloc[i]['date'], 'value': val})
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return pd.DataFrame(result)
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if __name__ == '__main__':
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chart = Chart()
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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line = chart.create_line()
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sma_data = calculate_sma(df)
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line.set(sma_data)
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chart.show(block=True)
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chart = Chart()
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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line = chart.create_line()
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sma_data = calculate_sma(df)
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line._set(sma_data)
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chart.show(block=True)
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```
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@ -188,68 +190,60 @@ if __name__ == '__main__':
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___
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### 6. ChartAsync:
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### 6. Callbacks:
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```python
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import asyncio
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import pandas as pd
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from lightweight_charts import ChartAsync
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from lightweight_charts import Chart
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def get_bar_data(symbol, timeframe):
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if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
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print(f'No data for "{symbol}"')
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return pd.DataFrame()
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return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
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class API:
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def __init__(self):
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self.chart = None # Changes after each callback.
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self.symbol = 'TSLA'
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self.timeframe = '5min'
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async def on_search(self, searched_string): # Called when the user searches.
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self.symbol = searched_string
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new_data = await self.get_data()
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new_data = get_bar_data(searched_string, self.chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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self.chart.topbar['corner'].set(searched_string)
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self.chart.set(new_data)
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async def on_timeframe_selection(self): # Called when the user changes the timeframe.
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new_data = get_bar_data(self.chart.topbar['corner'].value, self.chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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self.chart.set(new_data)
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self.chart.corner_text(searched_string)
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async def on_timeframe_selection(self, timeframe): # Called when the user changes the timeframe.
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self.timeframe = timeframe
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new_data = await self.get_data()
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if new_data.empty:
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return
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self.chart.set(new_data)
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async def get_data(self):
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if self.symbol not in ('AAPL', 'GOOGL', 'TSLA'):
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print(f'No data for "{self.symbol}"')
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return pd.DataFrame()
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data = get_bar_data(self.symbol, self.timeframe)
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return data
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async def main():
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api = API()
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chart = ChartAsync(api=api, debug=True)
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chart = Chart(api=api, topbar=True, searchbox=True)
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chart.legend(True)
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chart.create_switcher(api.on_timeframe_selection, '1min', '5min', '30min', default='5min')
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chart.corner_text(api.symbol)
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chart.topbar.textbox('corner', 'TSLA')
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chart.topbar.switcher('timeframe', api.on_timeframe_selection, '1min', '5min', '30min', default='5min')
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df = get_bar_data(api.symbol, api.timeframe)
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df = get_bar_data('TSLA', '5min')
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chart.set(df)
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await chart.show(block=True)
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await chart.show_async(block=True)
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if __name__ == '__main__':
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asyncio.run(main())
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```
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___
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<div align="center">
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