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.
1.7 KiB
1.7 KiB
Events
Hotkey Example
from lightweight_charts import Chart
def place_buy_order(key):
print(f'Buy {key} shares.')
def place_sell_order(key):
print(f'Sell all shares, because I pressed {key}.')
if __name__ == '__main__':
chart = Chart()
chart.hotkey('shift', (1, 2, 3), place_buy_order)
chart.hotkey('shift', 'X', place_sell_order)
chart.show(block=True)
Topbar Example
import pandas as pd
from lightweight_charts import Chart
def get_bar_data(symbol, timeframe):
if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
print(f'No data for "{symbol}"')
return pd.DataFrame()
return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
def on_search(chart, searched_string):
new_data = get_bar_data(searched_string, chart.topbar['timeframe'].value)
if new_data.empty:
return
chart.topbar['symbol'].set(searched_string)
chart.set(new_data)
def on_timeframe_selection(chart):
new_data = get_bar_data(chart.topbar['symbol'].value, chart.topbar['timeframe'].value)
if new_data.empty:
return
chart.set(new_data, True)
def on_horizontal_line_move(chart, line):
print(f'Horizontal line moved to: {line.price}')
if __name__ == '__main__':
chart = Chart(toolbox=True)
chart.legend(True)
chart.events.search += on_search
chart.topbar.textbox('symbol', 'TSLA')
chart.topbar.switcher('timeframe', ('1min', '5min', '30min'), default='5min',
func=on_timeframe_selection)
df = get_bar_data('TSLA', '5min')
chart.set(df)
chart.horizontal_line(200, func=on_horizontal_line_move)
chart.show(block=True)