app.py

#!/usr/bin/env python

import gradio as gr
import pandas as pd

COLUMN_NAMES = [
    'A',
    'B',
    'C',
]
COLUMN_DATATYPES = [
    'markdown',
    'str',
    'number',
]

data = [['# aaa', 'bbb', 123]]
df = pd.DataFrame(data, columns=COLUMN_NAMES)


def update_table(column_indices: list[int]) -> dict:
    columns = [COLUMN_NAMES[i] for i in column_indices]
    datatypes = [COLUMN_DATATYPES[i] for i in column_indices]
    return gr.update(value=df.loc[:, columns], datatype=datatypes)


with gr.Blocks(css='style.css') as demo:
    column_selection = gr.CheckboxGroup(label='Columns',
                                        choices=COLUMN_NAMES,
                                        value=COLUMN_NAMES,
                                        type='index')
    dataframe = gr.Dataframe(value=df,
                             datatype=COLUMN_DATATYPES,
                             type='pandas')

    column_selection.change(fn=update_table,
                            inputs=column_selection,
                            outputs=dataframe)

demo.queue(api_open=False).launch()