# jax.numpy.flipΒΆ

jax.numpy.flip(m, axis=None)[source]ΒΆ

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

LAX-backend implementation of flip(). Original docstring below.

The shape of the array is preserved, but the elements are reordered.

New in version 1.12.0.

Parameters
• m (array_like) β Input array.

• axis (None or int or tuple of ints, optional) β Axis or axes along which to flip over. The default, axis=None, will flip over all of the axes of the input array. If axis is negative it counts from the last to the first axis.

Returns

out β A view of m with the entries of axis reversed. Since a view is returned, this operation is done in constant time.

Return type

array_like

flipud()

Flip an array vertically (axis=0).

fliplr()

Flip an array horizontally (axis=1).

Notes

flip(m, 0) is equivalent to flipud(m).

flip(m, 1) is equivalent to fliplr(m).

flip(m, n) corresponds to m[...,::-1,...] with ::-1 at position n.

flip(m) corresponds to m[::-1,::-1,...,::-1] with ::-1 at all positions.

flip(m, (0, 1)) corresponds to m[::-1,::-1,...] with ::-1 at position 0 and position 1.

Examples

>>> A = np.arange(8).reshape((2,2,2))
>>> A
array([[[0, 1],
[2, 3]],
[[4, 5],
[6, 7]]])
>>> np.flip(A, 0)
array([[[4, 5],
[6, 7]],
[[0, 1],
[2, 3]]])
>>> np.flip(A, 1)
array([[[2, 3],
[0, 1]],
[[6, 7],
[4, 5]]])
>>> np.flip(A)
array([[[7, 6],
[5, 4]],
[[3, 2],
[1, 0]]])
>>> np.flip(A, (0, 2))
array([[[5, 4],
[7, 6]],
[[1, 0],
[3, 2]]])
>>> A = np.random.randn(3,4,5)
>>> np.all(np.flip(A,2) == A[:,:,::-1,...])
True