numpy.flipud
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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
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marray_like
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Input array.
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- Returns
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outarray_like
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A view of
m
with the rows reversed. Since a view is returned, this operation is \(\mathcal O(1)\).
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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])
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https://numpy.org/doc/1.21/reference/generated/numpy.flipud.html