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flipud(m)

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.

Notes

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

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 $\mathcal O(1)$ .

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

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])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.fliplr dask.array.routines.flipud numpy.diagonal numpy.flip dask.array.creation.diagonal numpy.rot90 numpy.fill_diagonal

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