在一个*3D*散点图中绘制多个pandas DataFrames

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

df1 = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6], 'z': [7, 8, 9]})
df2 = pd.DataFrame({'x': [4, 5, 6], 'y': [7, 8, 9], 'z': [10, 11, 12]})
df3 = pd.DataFrame({'x': [7, 8, 9], 'y': [10, 11, 12], 'z': [13, 14, 15]})

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

ax.scatter(df1['x'], df1['y'], df1['z'], c='r', marker='o', label='DataFrame 1')
ax.scatter(df2['x'], df2['y'], df2['z'], c='g', marker='s', label='DataFrame 2')
ax.scatter(df3['x'], df3['y'], df3['z'], c='b', marker='^', label='DataFrame 3')

ax.legend()
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()