这是一个绘制矩阵的函数。

用matshow绘制矩阵的例子：

import matplotlib.pyplot as pltimport 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 matrixplt.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 cvimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib import cmfrom mpl_toolkits import mplot3d cap = cv.VideoCapture(0)cpframe = Nonewhile 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。