update docs
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@ -8,7 +8,7 @@ ___
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```{py:method} set(data: pd.DataFrame, render_drawings: bool = False)
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```{py:method} set(data: pd.DataFrame, keep_drawings: bool = False)
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Sets the initial data for the chart.
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@ -17,7 +17,7 @@ Columns should be named:
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Time can be given in the index rather than a column, and volume can be omitted if volume is not used. Column names are not case sensitive.
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If `render_drawings` is `True`, any drawings made using the `toolbox` will be redrawn with the new data. This is designed to be used when switching to a different timeframe of the same symbol.
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If `keep_drawings` is `True`, any drawings made using the `toolbox` will be redrawn with the new data. This is designed to be used when switching to a different timeframe of the same symbol.
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`None` can also be given, which will erase all candle and volume data displayed on the chart.
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```
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```{py:method} update(series: pd.Series, render_drawings: bool = False)
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```{py:method} update(series: pd.Series, keep_drawings: bool = False)
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Updates the chart data from a bar.
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Series labels should be akin to [`set`](#AbstractChart.set).
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```{py:method} show_async(block: bool)
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```{py:method} show_async()
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:async:
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Show the chart asynchronously.
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The `QtChart` object allows the use of charts within a `QMainWindow` object, and has similar functionality to the `Chart` object for manipulating data, configuring and styling.
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Either the `PyQt5` or `PySide6` libraries will work with this chart.
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Either the `PyQt5`, `PyQt6` or `PySide6` libraries will work with this chart.
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Callbacks can be received through the Qt event loop.
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___
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