06b605d3a7
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.
259 lines
7.9 KiB
Markdown
259 lines
7.9 KiB
Markdown
<div align="center">
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# lightweight-charts-python
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[](https://pypi.org/project/lightweight-charts/)
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[](https://python.org "Go to Python homepage")
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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/common_methods.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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1. Simple and easy to use.
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2. Blocking or non-blocking GUI.
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3. Streamlined for live data, with methods for updating directly from tick data.
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4. Multi-Pane Charts using the [`SubChart`](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html#create-subchart-subchart).
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5. The Toolbox, allowing for trendlines, rays and horizontal lines to be drawn directly onto charts.
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6. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/callbacks.html) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, hotkeys, and more.
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7. Tables for watchlists, order entry, and trade management.
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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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PartTimeLarry: [Interactive Brokers API and TradingView Charts in Python](https://www.youtube.com/watch?v=TlhDI3PforA)
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___
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### 1. Display data from a csv:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart()
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# Columns: | time | open | high | low | close | volume (if volume is enabled) |
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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chart.show(block=True)
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```
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___
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### 2. Updating bars in real-time:
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```python
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import pandas as pd
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from time import sleep
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart()
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df1 = pd.read_csv('ohlcv.csv')
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df2 = pd.read_csv('next_ohlcv.csv')
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chart.set(df1)
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chart.show()
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last_close = df1.iloc[-1]
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for i, series in df2.iterrows():
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chart.update(series)
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if series['close'] > 20 and last_close < 20:
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chart.marker(text='The price crossed $20!')
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last_close = series['close']
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sleep(0.1)
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```
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___
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### 3. Updating bars from tick data in real-time:
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```python
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import pandas as pd
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from time import sleep
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from lightweight_charts import Chart
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if __name__ == '__main__':
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df1 = pd.read_csv('ohlc.csv')
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# Columns: | time | price | volume (if volume is enabled) |
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df2 = pd.read_csv('ticks.csv')
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chart = Chart(volume_enabled=False)
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chart.set(df1)
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chart.show()
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for i, tick in df2.iterrows():
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chart.update_from_tick(tick)
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sleep(0.3)
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```
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___
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### 4. Line Indicators:
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```python
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import pandas as pd
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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'], f'SMA {period}': 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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chart.legend(visible=True)
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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, period=50)
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line.set(sma_data, name='SMA 50')
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chart.show(block=True)
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```
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___
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### 5. Styling:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart(debug=True)
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df = pd.read_csv('ohlcv.csv')
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chart.layout(background_color='#090008', text_color='#FFFFFF', font_size=16,
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font_family='Helvetica')
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chart.candle_style(up_color='#00ff55', down_color='#ed4807',
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border_up_color='#FFFFFF', border_down_color='#FFFFFF',
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wick_up_color='#FFFFFF', wick_down_color='#FFFFFF')
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chart.volume_config(up_color='#00ff55', down_color='#ed4807')
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chart.watermark('1D', color='rgba(180, 180, 240, 0.7)')
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chart.crosshair(mode='normal', vert_color='#FFFFFF', vert_style='dotted',
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horz_color='#FFFFFF', horz_style='dotted')
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chart.legend(visible=True, font_size=14)
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chart.set(df)
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chart.show(block=True)
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```
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___
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### 6. Callbacks:
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```python
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import pandas as pd
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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'../examples/6_callbacks/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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def on_search(self, searched_string): # Called when the user searches.
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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['symbol'].set(searched_string)
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self.chart.set(new_data)
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def on_timeframe_selection(self): # Called when the user changes the timeframe.
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new_data = get_bar_data(self.chart.topbar['symbol'].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, True)
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def on_horizontal_line_move(self, line_id, price):
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print(f'Horizontal line moved to: {price}')
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if __name__ == '__main__':
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api = API()
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chart = Chart(api=api, topbar=True, searchbox=True, toolbox=True)
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chart.legend(True)
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chart.topbar.textbox('symbol', '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('TSLA', '5min')
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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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```
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___
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<div align="center">
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[](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html)
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Inquiries: [shaders_worker_0e@icloud.com](mailto:shaders_worker_0e@icloud.com)
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___
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_This package is an independent creation and has not been endorsed, sponsored, or approved by TradingView. The author of this package does not have any official relationship with TradingView, and the package does not represent the views or opinions of TradingView._
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</div>
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