使用Plotly Dash for Python从回调中以data_table的形式返回一个熊猫DataFrame

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd

app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Input(id='input', value='', type='text'),
    html.Button('Submit', id='submit-button', n_clicks=0),
    html.Div(id='output')
])

@app.callback(
    Output('output', 'children'),
    [Input('submit-button', 'n_clicks')],
    [State('input', 'value')]
)
def update_output(n_clicks, input_value):
    # 在这里进行数据处理和熊猫DataFrame的创建
    df = pd.DataFrame({'Column 1': [1, 2, 3], 'Column 2': [4, 5, 6]})
    return dcc.DataTable(
        columns=[{'name': col, 'id': col} for col in df.columns],
        data=df.to_dict('records')
    )

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