这是一个绘制矩阵的函数。

用matshow绘制矩阵的例子：

import matplotlib.pyplot as plt

import numpy as np

def samplemat(dims):

"""Make a matrix with all zeros and increasing elements on the diagonal"""

aa = np.zeros(dims)

for i in range(min(dims)):

aa[i, i] = i

return aa

# Display matrix

plt.matshow(samplemat((15, 15)))

plt.show()

效果图：

补充知识：利用matplotlib将矩阵画成三维图

import cv2 as cv

import numpy as np

import matplotlib.pyplot as plt

from matplotlib import cm

from mpl_toolkits import mplot3d

cap = cv.VideoCapture(0)

cpframe = None

while True:

ret, frame = cap.read()

cv.imshow("video", frame)

if cv.waitKey(1) & 0xFF ==ord('q'):

cpframe = frame

break

img_gray = cv.cvtColor(cpframe, cv.COLOR_RGB2GRAY)

Y = np.arange(0, np.shape(img_gray)[0], 1)

X = np.arange(0, np.shape(img_gray)[1], 1)

X, Y = np.meshgrid(X, Y)

fig = plt.figure()

ax = plt.axes(projection="3d")

ax.plot_surface(X, Y, img_gray, cmap=cm.gist_rainbow)

plt.show()

以上这篇matplotlib.pyplot.matshow 矩阵可视化实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持脚本之家。