matplotlib.pyplot.matshow 矩阵可视化实例
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软件开发网。
您可能感兴趣的文章:Python matplotlib绘图可视化知识点整理(小结)python 使用matplotlib 实现从文件中读取x,y坐标的可视化方法Python数据可视化之画图
