numpy练习笔记2

线性方程组计算

from numpy.linalg import *
import numpy as np
print(np.eye(3))#单位矩阵

lst = np.array([[1,2],
                [3,4]])
print('inv逆矩阵:')
print(inv(lst))

print('T:')
print(lst.transpose())

print('det行列式:')
print(det(lst))

print('eig特征值和特质向量:')
print(eig(lst))

print('solve解方程组:')
y = np.array([[5],[7]])
print(solve(lst,y))

输出结果:

[[ 1.  0.  0.]
 [ 0.  1.  0.]
 [ 0.  0.  1.]]
inv逆矩阵:
[[-2.   1. ]
 [ 1.5 -0.5]]
T:
[[1 3]
 [2 4]]
det行列式:
-2.0
eig特征值和特质向量:
(array([-0.37228132,  5.37228132]), array([[-0.82456484, -0.41597356],
       [ 0.56576746, -0.90937671]]))
solve解方程组:
[[-3.]
 [ 4.]]

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转载自blog.csdn.net/weixin_43139613/article/details/82789171