jupyter notebook中用于pandas dataframe的交互式多图表小部件

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import interact

# 创建一个示例的pandas dataframe
data = pd.DataFrame({'x': np.arange(10), 'y': np.random.randn(10)})

@interact
def plot_data(column=['x', 'y'], kind=['line', 'bar', 'scatter']):
    # 根据用户选择的列和图表类型绘制图表
    plt.figure(figsize=(8, 6))
    if kind == 'line':
        plt.plot(data[column])
    elif kind == 'bar':
        plt.bar(data.index, data[column])
    elif kind == 'scatter':
        plt.scatter(data['x'], data['y'])
    plt.xlabel('Index')
    plt.ylabel(column)
    plt.title(f'{kind} plot of {column}')
    plt.show()