方法1:
label = label.T[::-1].transpose()
方法2:
label = label[:,::-1]
方法3:
使用 numpy.fliplr
https://docs.scipy.org/doc/numpy/reference/generated/numpy.fliplr.html
numpy.fliplr
-
numpy.
fliplr
(m)[source] -
Flip array in the left/right direction.
Flip the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before.
Parameters: m : array_like
Input array, must be at least 2-D.
Returns: f : ndarray
A view of m with the columns reversed. Since a view is returned, this operation is .
Notes
Equivalent to m[:,::-1]. Requires the array to be at least 2-D.
Examples
>>> A = np.diag([1.,2.,3.])
>>> A
array([[ 1., 0., 0.],
[ 0., 2., 0.],
[ 0., 0., 3.]])
>>> np.fliplr(A)
array([[ 0., 0., 1.],
[ 0., 2., 0.],
[ 3., 0., 0.]])
>>> A = np.random.randn(2,3,5)
>>> np.all(np.fliplr(A) == A[:,::-1,...])
True