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explain numpy.transpose() in Python

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numpy.transpose() in Python

The numpy.transpose() permutes the dimensions of an array.

Syntax

numpy.transpose(a, axes=None)

Parameter

a : This parameter represents an input array.

axes : It is an optional parameter which by default, reverses the dimensions, otherwise permutes the axes according to the values given.

Return

This function returns the parameter ‘a’ with its axes permuted. A view is returned whenever possible.

Example 1

# Python Program explaining
# numpy.transpose() function
import numpy as np
# making a 3x3 array
val = np.array([[11, 12, 13],
                [14, 15, 16],
                [17, 18, 19]])
# value before transpose
print("Before transpose: \n",+val, end ='\n\n')
# value after transpose
print("After transpose: \n",+val.transpose())

Output

Before transpose:
[[11 12 13]
[14 15 16]
[17 18 19]]
After transpose:
[[11 14 17]
[12 15 18]
[13 16 19]]

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