使用ipywidgets过滤pandas数据帧

import pandas as pd
import ipywidgets as widgets
from IPython.display import display

data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
        'Age': [25, 30, 35, 40],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

name_filter = widgets.Text(description='Name:')
age_filter = widgets.IntSlider(description='Age:', min=0, max=100, step=1)
city_filter = widgets.Dropdown(description='City:', options=['All'] + df['City'].unique().tolist())

def filter_dataframe(name, age, city):
    filtered_df = df.copy()
    
    if name != '':
        filtered_df = filtered_df[filtered_df['Name'].str.contains(name)]
    
    if age is not None:
        filtered_df = filtered_df[filtered_df['Age'] >= age]
    
    if city != 'All':
        filtered_df = filtered_df[filtered_df['City'] == city]
    
    display(filtered_df)

button = widgets.Button(description='Filter')
button.on_click(lambda _: filter_dataframe(name_filter.value, age_filter.value, city_filter.value))

display(name_filter, age_filter, city_filter, button)