# NumPy Matrix transpose() – Transpose of an Array in Python With Examples [Latest]

Oct 24, 2022

The transpose of a matrix is obtained by moving the rows data to the column and columns data to the rows.

If we have an array of shape (X, Y) then the transpose of the array will have the shape (Y, X).

## NumPy Matrix transpose()

Python numpy module is mostly used to work with arrays in Python. We can use the transpose() function to get the transpose of an array.

``````
import numpy as np
arr1 = np.array([[1, 2, 3], [4, 5, 6]])
print(f'Original Array:n{arr1}')
arr1_transpose = arr1.transpose()
print(f'Transposed Array:n{arr1_transpose}')
``````

Output:

``````
Original Array:
[[1 2 3]
[4 5 6]]
Transposed Array:
[[1 4]
[2 5]
[3 6]]

``````

Numpy Array Transpose

## Transpose of an Array Like Object

The transpose() function works with an array like object too, such as a nested list.

``````
arr1 = [[1, 2, 3], [4, 5, 6]]
arr1_transpose = np.transpose(arr1)
``````

The result will be the same as the earlier program.

Reference: API Doc