flopscope.

flopscope.numpy.fliplr

fnp.fliplr(m)[flopscope source][numpy source]

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

Adapted from NumPy docs np.fliplr

Areacore
Typefree
NumPy Refnp.fliplr
Cost
0
Flopscope Context

Flip array 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:ndarray

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

See also

Notes

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

Examples

>>> import flopscope.numpy as fnp
>>> A = flops.diag([1.,2.,3.])
>>> A
array([[1.,  0.,  0.],
       [0.,  2.,  0.],
       [0.,  0.,  3.]])
>>> flops.fliplr(A)
array([[0.,  0.,  1.],
       [0.,  2.,  0.],
       [3.,  0.,  0.]])
>>> rng = flops.random.default_rng()
>>> A = rng.normal(size=(2,3,5))
>>> flops.all(flops.fliplr(A) == A[:,::-1,...])
True