如何制作 3D 图（X、Y、Z），将 Z 值分配给 X、Y 有序对？

Question

我正在尝试绘制 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,]

和Z值，对应以下[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()

你也可以使用散点图

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

对于曲面图

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

Answer 2

这将提供您可以绘制的所需 3d 数组（而不是直接绘制）。

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)

如何制作 3D 图（X、Y、Z），将 Z 值分配给 X、Y 有序对？

How to make a 3D plot (X, Y, Z), assigning Z values to X,Y ordered pairs?

python

numpy

matplotlib

multidimensional-array

mplot3d