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