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/downdirection. Rows are preserved, but appear in a different order than before.
- Parameters:
- marray_like
Input array.
- Returns:
- outarray_like
A view ofm with the rows reversed. Since a view isreturned, 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
>>>importnumpyasnp>>>A=np.diag([1.0,2,3])>>>Aarray([[1., 0., 0.], [0., 2., 0.], [0., 0., 3.]])>>>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,...])True
>>>np.flipud([1,2])array([2, 1])
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