dpnp.rot90

dpnp.rot90(m, k=1, axes=(0, 1))

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.

For full documentation refer to numpy.rot90.

Parameters:

• m ({dpnp.ndarray, usm_ndarray}) -- Array of two or more dimensions.

• k (integer, optional) --

  Number of times the array is rotated by 90 degrees.

  Default: 1.

• axes ((2,) array_like of ints, optional) --

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

  Default: (0, 1).

Returns:

out -- A rotated view of m.

Return type:

dpnp.ndarray

See also

dpnp.flip

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

dpnp.fliplr

Flip an array horizontally.

dpnp.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 dpnp as np
>>> m = np.array([[1, 2], [3, 4]])
>>> 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]]])