`numpy:flipud`

Signature

def flipud(m)

Reverse the order of elements along axis 0 (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.

out : array_like: A view of m with the rows reversed. Since a view is returned, this operation is $O (1)$ .

Equivalent to m[::-1, ...] or np.flip(m, axis=0). Requires the array to be at least 1-D.

import numpy as np
A = np.diag([1.0, 2, 3])

✓

A
np.flipud(A)

✗

array([[0., 0., 3.],
       [0., 2., 0.],
       [1., 0., 0.]])

rng = np.random.default_rng()
A = rng.normal(size=(2,3,5))

✓

np.all(np.flipud(A) == A[::-1,...])

✗

np.True_

np.flipud([1,2])

✓

array([2, 1])