numpy.flipud
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numpy.flipud(m)
[source] -
Flip array in the up/down direction.
Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.
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.
Notes
Equivalent to
A[::-1,...]
. Does not require the array to be two-dimensional.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://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.flipud.html