如何在Plotly Python中返回由2个dropdowns更新的datatable作为输入

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

app = dash.Dash(__name__)

app.layout = html.Div([
    html.Label('选择X轴数据：'),
    dcc.Dropdown(
        id='x-axis-dropdown',
        options=[
            {'label': '数据1', 'value': 'data1'},
            {'label': '数据2', 'value': 'data2'},
            # 添加更多选项...
        ],
        value='data1'
    ),
    
    html.Label('选择Y轴数据：'),
    dcc.Dropdown(
        id='y-axis-dropdown',
        options=[
            {'label': '数据A', 'value': 'dataA'},
            {'label': '数据B', 'value': 'dataB'},
            # 添加更多选项...
        ],
        value='dataA'
    ),
    
    html.Hr(),
    
    html.Div(id='datatable-container')
])

@app.callback(
    Output('datatable-container', 'children'),
    [Input('x-axis-dropdown', 'value'),
     Input('y-axis-dropdown', 'value')]
)
def update_datatable(x_axis_value, y_axis_value):
    # 根据下拉菜单的值，获取相应的数据
    data = get_data(x_axis_value, y_axis_value)
    
    # 创建数据表
    datatable = dcc.DataTable(
        id='datatable',
        columns=[{'name': col, 'id': col} for col in data.columns],
        data=data.to_dict('records')
    )
    
    return datatable

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