1、ndarray转换成matrix

import numpy as npfrom numpy import random,matr_arr=random.rand(4,4)print('r_arr',r_arr)r_mat=mat(r_arr)print(r_mat.I)#求逆

运行结果：

r_arr [[ 0.65603592 0.39908438 0.44722351 0.92652759]
[ 0.32357477 0.45384697 0.31687359 0.73861219]
[ 0.3534119 0.12693696 0.15701767 0.9163409 ]
[ 0.36515841 0.87377377 0.44150506 0.4605718 ]]
r_mat [[ 0.65603592 0.39908438 0.44722351 0.92652759]
[ 0.32357477 0.45384697 0.31687359 0.73861219]
[ 0.3534119 0.12693696 0.15701767 0.9163409 ]
[ 0.36515841 0.87377377 0.44150506 0.4605718 ]]
[[ 2.20907786 -11.21482242 4.73076477 4.12886716]
[ -1.79239654 -4.48728612 3.52875987 3.78121743]
[ 2.86148809 15.82430961 -11.71577803 -7.82425058]
[ -1.09402215 2.23536661 0.78545617 -0.77549894]]

import numpy as npfrom numpy import random,mat,eyer_arr=random.rand(4,4)print('r_arr',r_arr)r_mat=mat(r_arr)print('r_mat',r_mat)r_invmat=r_mat.I# print(r_mat.I)r2_mat=r_mat*r_invmatprint('r2_mat',r2_mat)print('error',r2_mat-eye(4))

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