numpy.flipud#
- 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
Notes
Equivalent to
m[::-1, ...]
ornp.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])