Streaming tabulator

Download this notebook from GitHub (right-click to download).


import numpy as np
import pandas as pd
import panel as pn

pn.extension('tabulator', sizing_mode="stretch_width")

This example demonstrates the powerful streaming capabilities of the Tabulator widget.

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)

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)

def stream():
    data = df.iloc[-1] + np.random.randn(4)
    tabulator.stream(data, rollover=rollover.value, follow=follow.value)

cb = pn.state.add_periodic_callback(stream, 200)

component = pn.Column(
    pn.Row(cb.param.period, rollover, follow, width=400),
    tabulator,
)
component

App

Lets wrap it into nice template that can be served via panel serve streaming_tabulator.ipynb

pn.template.FastListTemplate(
    site="Panel", 
    title="Streaming Tabulator", 
    main=[
        "This example demonstrates the **powerful streaming capabilities** of Panel and the `Tabulator` widget.",
        component,
    ]
).servable();
This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

Download this notebook from GitHub (right-click to download).