.transpose()

The .transpose() method reverses or permutes the axes of an ndarray.

Syntax

numpy.transpose(axes)

Where axes is a tuple or list with as many entries as there are dimensions, listing the 0-based indices of each index in the new order in which they’ll appear in the permuted array. If axes is omitted, .transpose() will reverse the order of axes.

Unlike the built-in numpy.transpose() function, the numpy.ndarray.transpose() method can accept the axes as separate arguments, as well as in the form of a tuple (i.e., array.transpose(2,0,1) is the same as array.transpose((2,0,1))).

If possible, the ndarray returned will be a view of the original ndarray‘s data.

Example

The example below creates a ndarray and then uses .transpose().

import numpy as np

nd1 = np.array([[1,2,3],[4,5,6]])

print(nd1)
print(nd1.transpose())

This produces the following output:

[[1 2 3]
 [4 5 6]]

[[1 4]
 [2 5]
 [3 6]]

In the above output, the original array is a 2x3 matrix, and the transposed array is a 3x2 matrix.

Codebyte example

This codebyte example demonstrates how to create and manipulate a multi-dimensional array in Python using NumPy’s .transpose() function.

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