python numpy transpose

NumPy transpose function is used to reverse or flip the array along its diagonals. It returns a view or copy of the original array and does not modify the original array. The syntax for numpy transpose is as follows:

numpy.transpose(arr, axes=None)

Here, `arr` is the input array that needs to be transposed, and `axes` is a tuple of integers that defines the order of the axes after transposing. If `axes` is not specified, the order of the axes is reversed.

Example:

import numpy as np

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

# transpose the array
arr_transposed = np.transpose(arr)

print("Original array:\n", arr)
print("Transposed array:\n", arr_transposed)

Output:

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

In this example, the input array is a 2D array with two rows and three columns. After transposing, the rows become columns and vice versa, resulting in a 3x2 array.