使用索引和列作为X，Y和值作为Z?将pandas DataFrame转换为3d图形？

import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

# 创建一个示例DataFrame
data = {'X': [1, 2, 3, 4, 5],
        'Y': [6, 7, 8, 9, 10],
        'Z': [11, 12, 13, 14, 15]}
df = pd.DataFrame(data)

# 创建3D图形
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 绘制3D散点图
ax.scatter(df['X'], df['Y'], df['Z'])

# 设置坐标轴标签
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

# 显示图形
plt.show()