Plotly:如何使用自定义按钮过滤长格式的数据帧？

import plotly.express as px
import pandas as pd

data = pd.DataFrame({
    'Category': ['A', 'B', 'C', 'A', 'B', 'C'],
    'Value': [1, 3, 2, 4, 2, 1]
})

fig = px.bar(data, x='Category', y='Value')

button_all = dict(label='All',
                  method='update',
                  args=[{'visible': [True, True, True]},
                        {'title': 'All Data'}])

button_a = dict(label='A',
                method='update',
                args=[{'visible': [True, False, False]},
                      {'title': 'Category A'}])

button_b = dict(label='B',
                method='update',
                args=[{'visible': [False, True, False]},
                      {'title': 'Category B'}])

button_c = dict(label='C',
                method='update',
                args=[{'visible': [False, False, True]},
                      {'title': 'Category C'}])

fig.update_layout(
    updatemenus=[
        dict(
            buttons=[button_all, button_a, button_b, button_c],
            direction='down',
            pad={'r': 10, 't': 10},
            showactive=True,
            x=0.1,
            xanchor='left',
            y=1.1,
            yanchor='top'
        ),
    ]
)

fig.show()