如何在 Python 中以相同比例在同一图形上绘制矩阵的两个 3D 图 [英] How to plot two 3D plots of matrices on the same figure with same scale in Python

问题描述

我有两个矩阵，我想在同一个图上的两个子图上有它们对应的两个 3D 图，具有相同的 z 轴.

I have two matrices and I would like to have their corresponding two 3D plots on two subplots on the same figure, with the same z axis.

这是我目前的代码:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.axes3d import Axes3D

def myplot(matrix1, matrix2):
    mymin = np.min(np.array([np.min(matrix1), np.min(matrix2)]))
    mymax = np.max(np.array([np.max(matrix1), np.max(matrix2)]))

    xsize, ysize = matrix1.shape
    x = np.arange(0, ysize, 1)
    y = np.arange(0, xsize, 1)

    xs, ys = np.meshgrid(x, y)
    z1 = matrix1
    z2 = matrix2

    fig, (ax1, ax2) = plt.subplots(1, 2)
    ax1 = Axes3D(fig)
    ax1.plot_surface(xs, ys, z1, rstride=1, cstride=1)
    ax2 = Axes3D(fig)
    ax2.plot_surface(xs, ys, z2, rstride=1, cstride=1)
    plt.tight_layout
    plt.show()

mat1 = np.random.random(size = (10, 10))
mat2 = np.random.random(size = (10, 10))

myplot(mat1, mat2)

• 为什么我只能看到一个 3D 绘图?
• 如何在两个图中使用相同的 z 轴?

推荐答案

我认为你需要生成子图

I think you need to generate the sub plots

见下图(我也改变了颜色)

See plot below (I've changed the colouring too)

def myplot(matrix1, matrix2):
    mymin = np.min(np.array([np.min(matrix1), np.min(matrix2)]))
    mymax = np.max(np.array([np.max(matrix1), np.max(matrix2)]))

    xsize, ysize = matrix1.shape
    x = np.arange(0, ysize, 1)
    y = np.arange(0, xsize, 1)

    xs, ys = np.meshgrid(x, y)
    z1 = matrix1
    z2 = matrix2
    fig=plt.figure()
    ax1 = fig.add_subplot(2, 1, 1, projection='3d')
    ax1.plot_surface(xs, ys, z1,color="blue",alpha=0.5,rstride=1, cstride=1)
    ax2 = fig.add_subplot(2, 1, 2, projection='3d')
    ax2.plot_surface(xs, ys, z2,color="green",alpha=0.5, rstride=1, cstride=1)
    plt.tight_layout
    plt.show()

mat1 = np.random.random(size = (10, 10))
mat2 = np.random.random(size = (10, 10))

myplot(mat1, mat2)

要将 mymin 和 mymax 作为两个 z 轴的限制，请使用

To impose mymin and mymax as limits of the two z axes, use

ax1.set_zlim(mymin, mymax)
ax2.set_zlim(mymin, mymax)

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