用python计算矩阵特征值和特征向量

import numpy as np

A = np.array([[1, -1, 3],

              [-5, 3, 9],

              [1, 0, -2]])

eigenvalue, featurevector = np.linalg.eig(A)

print(eigenvalue)

print(featurevector)


<<<
[-3.27491722 1. 4.27491722]
[[ 0.43401893 0.6882472 -0.33619158]
[ 0.83410767 0.6882472 0.94026843]
[-0.3404291 0.22941573 -0.05357705]]