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).
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NumPy Matrix transpose()
The NumPy module in Python is primarily used for working with arrays. To obtain the transpose of an array, we can use the transpose() function.
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.
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