50, 72, 70, 96, 90],
[91, 79, 72, 58, 53, 47, 34, 16, 10],
[55, 20, 98, 19, 17, 10, 77, 89, 14]]
covariance_matrix...= np.cov(matric)
# 可视化
print(covariance_matrix)
import matplotlib.pyplot as mp, seaborn
seaborn.heatmap...(covariance_matrix, center=0, annot=True, xticklabels=list('abcd'), yticklabels=list('ABCD'))
mp.show