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numpy.flipud

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 \mathcal O(1).
See also
fliplr
Flip array in the left/right direction.
rot90
Rotate array counterclockwise.
Notes
Equivalent to m[::-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])
posted on 2018-07-06 10:50  缘来是潇洒  阅读(4119)  评论(0)    收藏  举报