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How matrix multiplication in Numpy works?

Posted on March 31, 2021June 15, 2022 By Luke K

Let’s learn how matrix multiplication in Numpy Python library works.
matrix multiplication in Numpy

Using a matmul function

To multiply matrices in Numpy you just need to know how to use matmul Numpy function.

This is example code on matrix multiplication in Python.

import numpy as np

my_array = np.array([[1, 5], [5, 4]])
my_array2 = np.array([[7, 4], [4, 8]])

multiply_array = np.matmul(my_array, my_array2)

print(f"Multiply matrices: \n {multiply_array}")

Using an @

Alternatively for basic matrix multiplications you just need to use only an at.

import numpy as np

my_array = np.array([[1, 5], [5, 4]])
my_array2 = np.array([[7, 4], [4, 8]])

multiply_array = my_array @ my_array2

print(f"Multiply matrices: \n {multiply_array}")

Results in these basic examples are exactly the same.

See also  How to flatten an array in Numpy?

See also:
Matrix multiplication in Excel

numpy Tags:array, matmul, matrix

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