NumPy matrix-vector multiplication
This tutorial will introduce the method of multiplying two matrices in NumPy.
numpy.matmul()NumPy matrix-vector multiplication using the
To calculate the product of two matrices, the number of columns of the first matrix must be equal to the number of rows of the second matrix. The numpy.matmul() method is used to calculate the product of two matrices. numpy.matmul()The method takes a matrix as an input parameter and returns the product in the form of another matrix. Refer to the following code example.
import numpy as np
m1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
m2 = np.array([[9, 8, 7, 6], [5, 4, 3, 3], [2, 1, 2, 0]])
m3 = np.matmul(m1, m2)
print(m3)
Output:
[[ 25 19 19 12]
[ 73 58 55 39]
[121 97 91 66]]
We first np.array()created the matrix as a two-dimensional array using the method. Then, we np.matmul(m1,m2)calculated the product of the two matrices using the method and stored the result in m3the matrix.
numpy.dot()NumPy matrix-vector multiplication using the
The numpy.dot() method calculates the dot product of two arrays. It can also be used on 2D arrays to find the matrix product of these arrays. numpy.dot()The method takes two matrices as input parameters and returns the product in the form of another matrix. Refer the following code example.
import numpy as np
m1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
m2 = np.array([[9, 8, 7, 6], [5, 4, 3, 3], [2, 1, 2, 0]])
m3 = np.dot(m1, m2)
print(m3)
Output:
[[ 25 19 19 12]
[ 73 58 55 39]
[121 97 91 66]]
We first np.array()created the matrix as a two-dimensional array using the method. Then, we np.dot(m1,m2)calculated the product of the two matrices using the method and stored the result in m3the matrix.
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