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NumPy Matrix transpose() - Transpose of an Array in Python

Published on August 3, 2022
NumPy Matrix transpose() - Transpose of an Array in Python

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
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

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About the author

Pankaj Kumar
Pankaj Kumar
Author
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Java and Python Developer for 20+ years, Open Source Enthusiast, Founder of https://www.askpython.com/, https://www.linuxfordevices.com/, and JournalDev.com (acquired by DigitalOcean). Passionate about writing technical articles and sharing knowledge with others. Love Java, Python, Unix and related technologies. Follow my X @PankajWebDev

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Great Article.Can you elaborate on the axes attribute of transpose

- Vedant

Can you please explain that how can I pass 2d np array from python to c ?

- Amrit

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