dwker/lightweight-charts-python
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v1.0.13

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NEW FEATURE: Polygon.io Full integration
- Added `polygon` to the common methods, allowing for data to be pulled from polygon.io. (`chart.polygon.<method>`)
- Added the `PolygonChart` object, which allows for a plug and play solution with the Polygon API.
- Check the docs for more details and examples!

Enhancements:
- Added `clear_markers` and `clear_horizontal_lines` to the common methods.
- Added the `maximize` parameter to the `Chart` object, which maximizes the chart window when shown.
- The Legend will now show Line values, and can be disabled using the `lines` parameter.
- Added the `name` parameter to the `set` method of line, using the column within the dataframe as the value and using its name within the legend.
- Added the `scale_candles_only` parameter to all Chart objects, which prevents the autoscaling of Lines.

- new `screenshot` method, which returns a bytes object of the displayed chart.

Fixes:
- `chart.lines()` now returns a copy of the list rather than the original.
This commit is contained in:
louisnw
2023-06-28 18:36:32 +01:00
parent adfc58a8af
commit d9c8aa3bd8
16 changed files with 932 additions and 649 deletions
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README.md
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@ -24,14 +24,10 @@ ___
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. Supports:
* PyQt -> [`QtChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#qtchart)
* wxPython -> [`WxChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#wxchart)
* Streamlit -> [`StreamlitChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#streamlitchart)
* asyncio -> [`show_async()`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#show-async)
* Jupyter Notebooks -> [`JupyterChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#jupyterchart)
4. __Supports:__ Jupyter Notebooks, PyQt, wxPython, Streamlit, and asyncio.
5. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#callbacks) allowing for timeframe (1min, 5min, 30min etc.) selectors, searching, and more.
6. Multi-Pane Charts using the [`SubChart`](https://lightweight-charts-python.readthedocs.io/en/latest/docs.html#subchart).
7. Direct integration of market data through [Polygon.io's](https://polygon.io) market data API.
___
### 1. Display data from a csv: