Enhancements:
- Added the `screen` parameter to `Chart`, allowing for monitor selection. This should be an index from 0 (0 = primary monitor, 1= second monitor, etc.) - `vertical_span` method, allowing for vertical lines/spans to be drawn across the chart. - `set_visible_range` method, which will set the visible range of the chart based on two given dates. - `resize` method, which resizes the chart to the given size. - `sync` will now sync both charts, regardless of which one is scrolled/zoomed.
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@ -17,15 +17,14 @@ lightweight-charts-python aims to provide a simple and pythonic way to access an
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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. Streamlined for live data, with methods for updating directly from tick data.
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2. Multi-pane charts using [Subcharts](https://lightweight-charts-python.readthedocs.io/en/latest/common_methods.html#create-subchart-subchart).
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3. The [Toolbox](https://lightweight-charts-python.readthedocs.io/en/latest/toolbox.html), allowing for trendlines, rays and horizontal lines to be drawn directly onto charts.
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4. [Callbacks](https://lightweight-charts-python.readthedocs.io/en/latest/callbacks.html) allowing for timeframe selectors (1min, 5min, 30min etc.), searching, hotkeys, and more.
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5. [Tables](https://lightweight-charts-python.readthedocs.io/en/latest/tables.html) for watchlists, order entry, and trade management.
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2. Multi-pane charts using [Subcharts](https://lightweight-charts-python.readthedocs.io/en/latest/reference/abstract_chart.html#AbstractChart.create_subchart).
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3. The [Toolbox](https://lightweight-charts-python.readthedocs.io/en/latest/reference/toolbox.html), allowing for trendlines, rays and horizontal lines to be drawn directly onto charts.
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4. [Events](https://lightweight-charts-python.readthedocs.io/en/latest/tutorials/events.html) allowing for timeframe selectors (1min, 5min, 30min etc.), searching, hotkeys, and more.
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5. [Tables](https://lightweight-charts-python.readthedocs.io/en/latest/reference/tables.html) for watchlists, order entry, and trade management.
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6. 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, PyQt5, PySide6, wxPython, Streamlit, and asyncio.
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