dash_tut_callbacks.py

@app.callback(Output('datatable-subplots', 'figure'),
              [Input('my-datatable', 'rows'),
               Input('my-datatable', 'selected_row_indices')])
def update_figure(rows, selected_row_indices):
    dff = pd.DataFrame(rows)
    fig = plotly.tools.make_subplots(
        rows=3, cols=1,
        subplot_titles=('Beef', 'Pork', 'Poultry'),
        shared_xaxes=True)
    marker = {'color': ['#0074D9']*len(dff)}
    for i in (selected_row_indices or []):
        marker['color'][i] = '#FF851B'
    fig.append_trace({
        'x': dff['state'],
        'y': dff['beef'],
        'type': 'bar',
        'marker': marker
    }, 1, 1)
    fig.append_trace({
        'x': dff['state'],
        'y': dff['pork'],
        'type': 'bar',
        'marker': marker
    }, 2, 1)
    fig.append_trace({
        'x': dff['state'],
        'y': dff['poultry'],
        'type': 'bar',
        'marker': marker
    }, 3, 1)
    fig['layout']['showlegend'] = False
    fig['layout']['height'] = 1000
    fig['layout']['width'] = 1200
    fig['layout']['margin'] = {
        'l': 40,
        'r': 10,
        't': 60,
        'b': 200
    }
    return fig


app.css.append_css({
    'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'
})


if __name__ == '__main__':
    app.run_server(debug=True)