How to Transpose a Matrix in Python

To transpose a matrix A into a transpose matrix A^T using Python, we use the transpose() function of the library numpy

import numpy as np
np.transpose(x)

The argument x is the input matrix (A).

The function calculates and outputs the transpose matrix A^T.

What is the transpose matrix? It is a matrix in which the rows are replaced by columns. For example, the first row 1 2 3 of the matrix A is the first column of the A^T matrix.

Example

Given a 2x2 matrix created by array function of numpy.

x=np.array([[1,4,7],[2,5,8],[3,6,9]])

Calculate the transposed matrix using the function transpose(x).

y=np.transpose(x).

The transpose matrix is assigned to the variable y.

array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])

The matrix y is the transpose matrix of x