python-scipyHow do I use the NumPy transpose function in Python?

The NumPy transpose function is used to transpose a given array in Python. Transposing an array means to exchange the rows and columns of the array. It can be used by passing the array into the transpose() function.

import numpy as np

arr = np.array([[1,2,3], [4,5,6]])

print("Original array:")
print(arr)

transposed_arr = np.transpose(arr)

print("Transposed array:")
print(transposed_arr)

Output example

Original array:
[[1 2 3]
 [4 5 6]]
Transposed array:
[[1 4]
 [2 5]
 [3 6]]

The code above consists of the following parts:

• import numpy as np: imports the NumPy library into the program.
• arr = np.array([[1,2,3], [4,5,6]]): creates an array with two rows and three columns.
• print("Original array:"): prints the text "Original array:" to the console.
• print(arr): prints the original array to the console.
• transposed_arr = np.transpose(arr): transposes the array.
• print("Transposed array:"): prints the text "Transposed array:" to the console.
• print(transposed_arr): prints the transposed array to the console.

Helpful links

• https://numpy.org/doc/stable/reference/generated/numpy.transpose.html
• https://www.geeksforgeeks.org/numpy-transpose-python/

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