xorbits.numpy.fliplr#

xorbits.numpy.fliplr(m)[source]#

Reverse the order of elements along axis 1 (left/right).

For a 2-D array, this flips the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before.

Parameters: m (array_like) – Input array, must be at least 2-D.
Returns: f – A view of m with the columns reversed. Since a view is returned, this operation is \(\mathcal O(1)\).
Return type: ndarray

See also

flipud: Flip array in the up/down direction.
flip: Flip array in one or more dimensions.
rot90: Rotate array counterclockwise.

Notes

Equivalent to m[:,::-1] or np.flip(m, axis=1). Requires the array to be at least 2-D.

Examples

>>> A = np.diag([1.,2.,3.])  
>>> A  
array([[1.,  0.,  0.],
       [0.,  2.,  0.],
       [0.,  0.,  3.]])
>>> np.fliplr(A)  
array([[0.,  0.,  1.],
       [0.,  2.,  0.],
       [3.,  0.,  0.]])

>>> A = np.random.randn(2,3,5)  
>>> np.all(np.fliplr(A) == A[:,::-1,...])  
True

This docstring was copied from numpy.