NumPy matrix transpose() in python

In this tutorial, you will learn about the NumPy matrix. transpose() in Python. you will learn where to use and how to use the Numpy matrix. transpose.

The ‘NumPy.matrix.transpose() ‘ is a function in Python, that transposes the matrix, which means flips the rows and columns.

Here are the steps on how to use ‘matrix. transpose’ in NumPy:

1. Importing NumPy:

ensure that NumPy is installed and imported into your program.

import numpy as np

2. creating a matrix:

create a matrix using ‘numpy. matrix’.

mat1=np.matrix([[1,2,3],[7,8,9]])

3. Transposing the matrix:

call the ‘transpose()’ to transpose the matrix.

transposed_mat1=mat1.transpose()

4. print the transposed matrix:

use ‘print’ to print the transposed matrix

print(transposed_mat1)

 

 

Example:

import numpy as np
#create matrix
mat1=np.matrix([[1,2,3],[7,8,9]])
#transpose the matrix
transposed_mat1=mat1.transpose()
#print the transposed matrix
print("transposed matrix:" transposed_mat1)

output:
transposed matrix:[[1,7]
                   [2,8]
                   [3,9]]