flopscope.

flopscope.numpy.flipud

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

Reverse the order of elements along axis 0 (up/down).

Adapted from NumPy docs np.flipud

Areacore
Typefree
NumPy Refnp.flipud
Cost
0
Flopscope Context

Flip array up-down.

For a 2-D array, this flips the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.

Parameters

m:array_like

Input array.

Returns

out:array_like

A view of m with the rows 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=0). Requires the array to be at least 1-D.

Examples

>>> import flopscope.numpy as fnp
>>> A = flops.diag([1.0, 2, 3])
>>> A
array([[1.,  0.,  0.],
       [0.,  2.,  0.],
       [0.,  0.,  3.]])
>>> flops.flipud(A)
array([[0.,  0.,  3.],
       [0.,  2.,  0.],
       [1.,  0.,  0.]])
>>> rng = flops.random.default_rng()
>>> A = rng.normal(size=(2,3,5))
>>> flops.all(flops.flipud(A) == A[::-1,...])
True
>>> flops.flipud([1,2])
array([2, 1])