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Showing content from https://docs.scipy.org/doc/numpy/reference/generated/numpy.rot90.html below:

numpy.rot90 — NumPy v2.3 Manual

numpy.rot90(m, k=1, axes=(0, 1))[source]#

Rotate an array by 90 degrees in the plane specified by axes.

Rotation direction is from the first towards the second axis. This means for a 2D array with the default k and axes, the rotation will be counterclockwise.

Parameters:

marray_like

Array of two or more dimensions.

kinteger

Number of times the array is rotated by 90 degrees.

axes(2,) array_like

The array is rotated in the plane defined by the axes. Axes must be different.

Returns:

yndarray

A rotated view of m.

See also

flip

Reverse the order of elements in an array along the given axis.

fliplr

Flip an array horizontally.

flipud

Flip an array vertically.

Notes

rot90(m, k=1, axes=(1,0)) is the reverse of rot90(m, k=1, axes=(0,1))

rot90(m, k=1, axes=(1,0)) is equivalent to rot90(m, k=-1, axes=(0,1))

Examples

>>> import numpy as np
>>> m = np.array([[1,2],[3,4]], int)
>>> m
array([[1, 2],
       [3, 4]])
>>> np.rot90(m)
array([[2, 4],
       [1, 3]])
>>> np.rot90(m, 2)
array([[4, 3],
       [2, 1]])
>>> m = np.arange(8).reshape((2,2,2))
>>> np.rot90(m, 1, (1,2))
array([[[1, 3],
        [0, 2]],
       [[5, 7],
        [4, 6]]])

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