How to realize the multiplication of Matrix corresponding elements by numpy

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1) matrix multiplication

Matrix multiplication: (m) n) x (n)-- > (m) p) # the premise of matrix multiplication: the column of matrix 1 = the row of matrix 2

Three uses: np.dot (matrix_a, matrix_b) = = matrix_a @ matrix_b = = matrix_a * matrix_b

2) element-wise product: multiply the corresponding elements of the matrix

1 usage: np.multiply (matrix_c, matrix_d)

For the nd.array () type, the array arrA * arrB can only be element-wise produt (multiplied by the corresponding elements)

#-*-coding: utf-8-* "Created on Thu Jul 26 14:22:40 2018@author: Administrator"import numpy as npa = np.array ([[1mai2], [3mae4], [11meme12]]) b = np.array ([[5miere 6mr13], [7mie 8mr14]]) c = np.array ([[1mie 2morie 13], [3pr 4pr 25], [11pr 12je 23]) d = np.array ([[5pr 6 mie 2], [7je 8mil 29]) ]) matrix_a = np.matrix (a) # (3pag2) matrix_b = np.matrix (b) # (2pime 3) matrix_c = np.matrix (c) # (3pian 3) matrix_d = np.matrix (d) # (3pint 3) print (type (a), type (matrix_a)) # mat_a = np.mat (a) print (type (a) Type (matrix_a)) #''# 1) matrix multiplication matrix multiplication: (MMagiere n) x (nQuery p)-- > (mLeary p) # Matrix multiplication operation premise: np.dot (matrix_a, matrix_b) = = matrix_a @ matrix_b = = matrix_a * matrix_b'''method_1 = matrix_a @ matrix_bmethod_2 = np.dot (matrix_a) Matrix_b) print (method_1) # [[19 22 41] # [43 50 95] # [139 162 311]] print (method_2 = = method_1) # [[True] # [True] # [True]] print (matrix_c * matrix_d = = matrix_c @ matrix_d) # [[True] # [True] # [True]]''# 2) element-wise product: Matrix correspondence 1 usage of multiplying elements: np.multiply (matrix_c Matrix_d) for the nd.array () type Array arrA * arrB can only element-wise produt (multiply the corresponding elements)''print (matrix_c, matrix_d, sep='\ n') # [[12 13] # [3 4 25] # [11 12 23]] # [[5 62] # [7 8 29] # [13 14 15]] method_1 = np.multiply (matrix_c Matrix_d) # Multiplication of corresponding position elements print (method_1) # [[5 12 26] # [21 32 725] # [143 168 345] 3) Matrix multiplication and array multiplication

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