numpy.flipud — NumPy v1.24 Manual (original) (raw)

numpy.flipud(m)[source]#

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.

Parameters:

marray_like

Input array.

Returns:

outarray_like

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

See also

fliplr

Flip array in the left/right direction.

flip

Flip array in one or more dimensions.

rot90

Rotate array counterclockwise.

Notes

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

Examples

A = np.diag([1.0, 2, 3]) A array([[1., 0., 0.], [0., 2., 0.], [0., 0., 3.]]) np.flipud(A) array([[0., 0., 3.], [0., 2., 0.], [1., 0., 0.]])

A = np.random.randn(2,3,5) np.all(np.flipud(A) == A[::-1,...]) True

np.flipud([1,2]) array([2, 1])