- 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.
This commit is contained in:
louisnw
2023-08-27 00:20:05 +01:00
parent 34ce3f7199
commit f72baf95ba
49 changed files with 43156 additions and 1895 deletions

View File

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# Alternative GUI's
## PyQt5 / PySide6
```python
import pandas as pd
from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QWidget
from lightweight_charts.widgets import QtChart
app = QApplication([])
window = QMainWindow()
layout = QVBoxLayout()
widget = QWidget()
widget.setLayout(layout)
window.resize(800, 500)
layout.setContentsMargins(0, 0, 0, 0)
chart = QtChart(widget)
df = pd.read_csv('ohlcv.csv')
chart.set(df)
layout.addWidget(chart.get_webview())
window.setCentralWidget(widget)
window.show()
app.exec_()
```
___
## WxPython
```python
import wx
import pandas as pd
from lightweight_charts.widgets import WxChart
class MyFrame(wx.Frame):
def __init__(self):
super().__init__(None)
self.SetSize(1000, 500)
panel = wx.Panel(self)
sizer = wx.BoxSizer(wx.VERTICAL)
panel.SetSizer(sizer)
chart = WxChart(panel)
df = pd.read_csv('ohlcv.csv')
chart.set(df)
sizer.Add(chart.get_webview(), 1, wx.EXPAND | wx.ALL)
sizer.Layout()
self.Show()
if __name__ == '__main__':
app = wx.App()
frame = MyFrame()
app.MainLoop()
```
___
## Jupyter
```python
import pandas as pd
from lightweight_charts import JupyterChart
chart = JupyterChart()
df = pd.read_csv('ohlcv.csv')
chart.set(df)
chart.load()
```
___
## Streamlit
```python
import pandas as pd
from lightweight_charts.widgets import StreamlitChart
chart = StreamlitChart(width=900, height=600)
df = pd.read_csv('ohlcv.csv')
chart.set(df)
chart.load()
```