Matrix operations in Numpy

import numpy as np
import numpy.linalg as alg
data=np.loadtxt("data",delimiter=",",dtype=float)
Matrix Operations Explanation
alg.det (data) Calculate the determinant of a matrix
alg.eig (data) Calculate the eigenvalues ​​and eigenvectors of the square matrix
alg.inv(data) Calculate the inverse of a square matrix
alg.pinv(data) Calculate the pseudo-inverse of a square matrix
alg.qr(data) Calculate qr decomposition
alg.svd (data) Calculate singular value decomposition svd
alg.solve(data) Solve the linear equations of the square matrix data
alg.lstsq(data) Calculate the least squares solution of the linear equations of the matrix data

 

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Origin blog.csdn.net/weixin_43217427/article/details/107744374