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+ PyScript/Panel Streaming Demo
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+ - bokeh
+ - numpy
+ - pandas
+ - scikit-learn
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+import asyncio
+import micropip
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+from io import StringIO
+from js import fetch
+
+await micropip.install(['panel==0.13.0rc11', 'altair'])
+
+import altair as alt
+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()
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+rollover = pn.widgets.IntInput(name='Rollover', value=15)
+follow = pn.widgets.Checkbox(name='Follow', value=True, align='end')
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+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
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+tabulator.style.applymap(color_negative_red)
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+p = figure(height=450, width=600)
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+cds = ColumnDataSource(data=ColumnDataSource.from_df(df))
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+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)
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+controls = pn.Row(cb.param.period, rollover, follow, width=400)
+
+await show(controls, 'controls')
+await show(tabulator, 'table')
+await show(p, 'plot')
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