- bokeh - numpy - pandas - panel
import asyncio import panel as pn import numpy as np import pandas as pd from bokeh.models import ColumnDataSource from bokeh.plotting import figure from panel.io.pyodide import show df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')).cumsum() rollover = pn.widgets.IntInput(name='Rollover', value=15) follow = pn.widgets.Checkbox(name='Follow', value=True, align='end') tabulator = pn.widgets.Tabulator(df, height=450, width=400) def color_negative_red(val): """ Takes a scalar and returns a string with the css property `'color: red'` for negative strings, black otherwise. """ color = 'red' if val < 0 else 'green' return 'color: %s' % color tabulator.style.applymap(color_negative_red) p = figure(height=450, width=600) cds = ColumnDataSource(data=ColumnDataSource.from_df(df)) p.line('index', 'A', source=cds, line_color='red') p.line('index', 'B', source=cds, line_color='green') p.line('index', 'C', source=cds, line_color='blue') p.line('index', 'D', source=cds, line_color='purple') def stream(): data = df.iloc[-1] + np.random.randn(4) tabulator.stream(data, rollover=rollover.value, follow=follow.value) value = {k: [v] for k, v in tabulator.value.iloc[-1].to_dict().items()} value['index'] = [tabulator.value.index[-1]] cds.stream(value) cb = pn.state.add_periodic_callback(stream, 200) controls = pn.Row(cb.param.period, rollover, follow, width=400) await show(controls, 'controls') await show(tabulator, 'table') await show(p, 'plot')