如何制作 3D plot（X，Y，Z），将 Z 值分配给 X，Y 有序对？

Question

我正在尝试 plot 3D 图表，其中我的 Z 值将分配给每个 [X,Y] 有序对。 例如，这些是我的 X、Y 和 Z 值：

X = [1,2,3,4,5]
Y = [1,2,3,4,5]
Z = [10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50,]

Z 值对应于以下 [X,Y] 有序对：

Z = [X[0]Y[0], X[0]Y[1], X[0]Y[2],...., X[5]Y[4], X[5]Y[5]]

谢谢！！

Answer 1

你可以使用 np.meshgrid

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

X = [1,2,3,4,5]
Y = [1,2,3,4,5]
Z = [10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50,]

xy = np.array(np.meshgrid(X,Y)).reshape(-1,2)

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(xy[:,0],xy[:,1],Z)
plt.show()

你也可以使用分散

ax.scatter(xy[:,0],xy[:,1],Z)

用于表面 plot

x , y = np.meshgrid(X,Y)
ax.plot_surface(x,y,np.array(Z).reshape(5,5))
plt.show()

Answer 2

这将提供所需的 3d 阵列（而不是直接绘制它），您可以使用 plot。

import numpy as np
X = [1,2,3,4,5]
Y = [1,2,3,4,5]
Z = [10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50, 10, 20, 30, 40, 50]

XY = np.array([[(x, y) for y in Y] for x in X])

Z = np.array(Z).reshape(XY.shape[0],XY.shape[1], 1)

XYZ = np.concatenate((XY, Z), axis = -1)

print(XYZ)