numpy.fliplr¶

numpy.fliplr(m)[source]¶

Flip array in the left/right direction.

Flip the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before.

Parameters

marray_like: Input array, must be at least 2-D.

Returns

fndarray: A view of m with the columns reversed. Since a view is returned, this operation is $\mathcal O(1)$ .

See also

flipud: Flip array in the up/down direction.
rot90: Rotate array counterclockwise.

Notes

Equivalent to m[:,::-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

numpy.flip numpy.flipud