xorbits.numpy.rot90#

xorbits.numpy.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.

Parameters

m (array_like) – Array of two or more dimensions.
k (integer) – 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.

New in version 1.12.0(numpy).

Returns

y – A rotated view of m.

Return type

ndarray

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

>>> 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]]])

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.