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How to get element-wise matrix multiplication (Hadamard product) in numpy?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to get element-wise matrix multiplication (Hadamard product) in numpy in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to get element-wise matrix multiplication (Hadamard product) in numpy?

  1. How to get element-wise matrix multiplication (Hadamard product) in numpy?

    However, you should really use array instead of matrixmatrix objects have all sorts of horrible incompatibilities with regular ndarrays.

  2. get element-wise matrix multiplication (Hadamard product) in numpy

    However, you should really use array instead of matrixmatrix objects have all sorts of horrible incompatibilities with regular ndarrays.

Method 1

For elementwise multiplication of matrix objects, you can use numpy.multiply:

import numpy as np
a = np.array([[1,2],[3,4]])
b = np.array([[5,6],[7,8]])
np.multiply(a,b)

Result

array([[ 5, 12],
       [21, 32]])

However, you should really use array instead of matrixmatrix objects have all sorts of horrible incompatibilities with regular ndarrays. With ndarrays, you can just use * for elementwise multiplication:

a * b

If you’re on Python 3.5+, you don’t even lose the ability to perform matrix multiplication with an operator, because @ does matrix multiplication now:

a @ b  # matrix multiplication

Method 2


just do this:

import numpy as np

a = np.array([[1,2],[3,4]])
b = np.array([[5,6],[7,8]])

a * b

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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