f72baf95ba
- Added async methods to polygon. - The `requests` library is no longer required, with `urllib` being used instead. - Added the `get_bar_data` function, which returns a dataframe of aggregate data from polygon. - Opened up the `subscribe` and `unsubscribe` functions Enhancements: - Tables will now scroll when the rows exceed table height. Bugs: - Fixed a bug preventing async functions being used with horizontal line event. - Fixed a bug causing the legend to show duplicate lines if the line was created after the legend. - Fixed a bug causing the line hide icon to persist within the legend after deletion (#75) - Fixed a bug causing the search box to be unfocused when the chart is loaded.
98 lines
1.5 KiB
Markdown
98 lines
1.5 KiB
Markdown
# Alternative GUI's
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## PyQt5 / PySide6
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```python
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import pandas as pd
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from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QWidget
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from lightweight_charts.widgets import QtChart
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app = QApplication([])
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window = QMainWindow()
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layout = QVBoxLayout()
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widget = QWidget()
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widget.setLayout(layout)
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window.resize(800, 500)
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layout.setContentsMargins(0, 0, 0, 0)
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chart = QtChart(widget)
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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layout.addWidget(chart.get_webview())
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window.setCentralWidget(widget)
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window.show()
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app.exec_()
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```
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___
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## WxPython
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```python
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import wx
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import pandas as pd
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from lightweight_charts.widgets import WxChart
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class MyFrame(wx.Frame):
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def __init__(self):
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super().__init__(None)
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self.SetSize(1000, 500)
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panel = wx.Panel(self)
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sizer = wx.BoxSizer(wx.VERTICAL)
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panel.SetSizer(sizer)
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chart = WxChart(panel)
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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sizer.Add(chart.get_webview(), 1, wx.EXPAND | wx.ALL)
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sizer.Layout()
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self.Show()
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if __name__ == '__main__':
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app = wx.App()
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frame = MyFrame()
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app.MainLoop()
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```
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___
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## Jupyter
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```python
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import pandas as pd
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from lightweight_charts import JupyterChart
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chart = JupyterChart()
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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chart.load()
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```
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___
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## Streamlit
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```python
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import pandas as pd
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from lightweight_charts.widgets import StreamlitChart
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chart = StreamlitChart(width=900, height=600)
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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chart.load()
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``` |