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).
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]]
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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Can you please explain that how can I pass 2d np array from python to c ?
- Amrit
Great Article.Can you elaborate on the axes attribute of transpose
- Vedant