from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(15,6),dpi=100)
ax = fig.add_subplot(111, projection='3d')

x=np.array([[-30, -20, -10,   0,  10,  20,],
 [-30, -20, -10,   0,  10,  20,],
 [-30, -20, -10,   0,  10,  20,],
 [-30, -20, -10,   0,  10,  20,],
 [-30, -20, -10,   0,  10,  20,],
 [-30, -20, -10,   0,  10,  20,]])

y=np.array([[-30, -30, -30, -30, -30, -30,],
 [-20, -20, -20, -20, -20, -20,],
 [-10, -10, -10, -10, -10, -10,],
 [  0,   0,   0,   0,   0,   0,],
 [ 10,  10,  10,  10,  10,  10,],
 [ 20,  20,  20,  20,  20,  20,]])


z=np.array([[  0,  1,  2,  3,  4,  5],
 [  0,  1,  2,  3,  4,  5],
 [ 0,  1,  2,  3,  4,  5],
 [  0,  1,  2,  3,  4,  5],
 [  0,  1,  2,  3,  4,  5],
 [  0,  1,  2,  3,  4,  5]])


z=x*0.2+y*0.8+10

z2=np.random.normal(loc=z, scale=10, size=(6,6))

ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')

ax.view_init(elev=30,azim=-25) 
ax.scatter(x, y, z2,color='red')
plt.show()

原文出处：/show_1EF3q1v3nSSk.html