Python实现矩阵可视化的示例代码

import matplotlib.pyplot as plt
import numpy as np

x = np.random.rand(5,5)

fig,axes = plt.subplots(1,2,figsize=(8,4))

axes[0].imshow(x)
plt.title("imshow")
axes[1].matshow(x)
plt.title("matshow")

plt.tight_layout()
plt.show()

from itertools import product

M,N = 3,6
x = np.random.rand(M,N)

plt.matshow(x)
for i,j in product(range(M),range(N)):
    plt.text(j-0.15, i, f"{x[i,j]:.2}")

plt.show()

def drawMat(x, ax=None):
    M, N = x.shape
    if not ax:
        ax = plt.subplot()
    arrM, arrN = np.arange(M), np.arange(N)
    plt.yticks(arrM+0.5, arrM)
    plt.xticks(arrN+0.5, arrN)
    ax.pcolormesh(x)
    ax.invert_yaxis()
    for i,j in product(range(M),range(N)):
        ax.text(j+0.2, i+0.55, f"{x[i,j]:.2}")
    plt.show()

x = np.random.rand(5,5)
drawMat(x)