>>> import numpy as np
>>> a = np.array([[10, 20, 30, 40, 50],
... [ 6, 7, 8, 9, 10]])
>>> permutation = [0, 4, 1, 3, 2]
>>> idx = np.empty_like(permutation)
>>> idx[permutation] = np.arange(len(permutation))
>>> a[:, idx] # return a rearranged copy
array([[10, 30, 50, 40, 20],
[ 6, 8, 10, 9, 7]])
>>> a[:] = a[:, idx] # in-place modification of a