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By Pankaj Kumar
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]]
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
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
Still looking for an answer?
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
This work is licensed under a Creative Commons Attribution-NonCommercial- ShareAlike 4.0 International License.- Table of contents
- NumPy Matrix transpose()
- Transpose of an Array Like Object
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