pandas数据框在3D模式下绘制多个帧

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

data = pd.DataFrame({
    'x': [1, 2, 3, 4, 5],
    'y': [10, 8, 6, 4, 2],
    'z': [7, 6, 4, 3, 2]
})

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_title('3D Plot')
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

for index, row in data.iterrows():
    ax.scatter(row['x'], row['y'], row['z'])
    # 在每一帧中可以添加一些其他的绘图操作
    # 例如：绘制线条、添加文本等

plt.show()