- Hotkeys can now use any character, and modifier keys are not required. - Refactored the colors of the topbar, searchbox, toolbox, and widgets for consistency. - Toolbox/interval refactoring and simplification. - Histograms now show up in the legend, and will use shorthand notation by default (e.g 34k rather than 34000).
2.3 KiB
2.3 KiB
Subcharts
Grid of 4
import pandas as pd
from lightweight_charts import Chart
if __name__ == '__main__':
chart = Chart(inner_width=0.5, inner_height=0.5)
chart2 = chart.create_subchart(position='right', width=0.5, height=0.5)
chart3 = chart.create_subchart(position='left', width=0.5, height=0.5)
chart4 = chart.create_subchart(position='right', width=0.5, height=0.5)
chart.watermark('1')
chart2.watermark('2')
chart3.watermark('3')
chart4.watermark('4')
df = pd.read_csv('ohlcv.csv')
chart.set(df)
chart2.set(df)
chart3.set(df)
chart4.set(df)
chart.show(block=True)
Synced Line Chart
import pandas as pd
from lightweight_charts import Chart
if __name__ == '__main__':
chart = Chart(inner_width=1, inner_height=0.8)
chart.time_scale(visible=False)
chart2 = chart.create_subchart(width=1, height=0.2, sync=True)
line = chart2.create_line()
df = pd.read_csv('ohlcv.csv')
df2 = pd.read_csv('rsi.csv')
chart.set(df)
line.set(df2)
chart.show(block=True)
Grid of 4 with maximize buttons
import pandas as pd
from lightweight_charts import Chart
# ascii symbols
FULLSCREEN = '■'
CLOSE = '×'
def on_max(target_chart):
button = target_chart.topbar['max']
if button.value == CLOSE:
[c.resize(0.5, 0.5) for c in charts]
button.set(FULLSCREEN)
else:
for chart in charts:
width, height = (1, 1) if chart == target_chart else (0, 0)
chart.resize(width, height)
button.set(CLOSE)
if __name__ == '__main__':
main_chart = Chart(inner_width=0.5, inner_height=0.5)
charts = [
main_chart,
main_chart.create_subchart(position='top', width=0.5, height=0.5),
main_chart.create_subchart(position='left', width=0.5, height=0.5),
main_chart.create_subchart(position='right', width=0.5, height=0.5),
]
df = pd.read_csv('examples/1_setting_data/ohlcv.csv')
for i, c in enumerate(charts):
chart_number = str(i+1)
c.watermark(chart_number)
c.topbar.textbox('number', chart_number)
c.topbar.button('max', FULLSCREEN, False, align='right', func=on_max)
c.set(df)
charts[0].show(block=True)