Numpy move columns

>>> 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

Source: stackoverflow.com

Similar codes

0 vote164 views1 answer
Return a new RDD containing only the elements that satisfy a predicate.
Python
0 vote175 views1 answer
Multiple delimiters pandas
Python
1 vote230 views2 answers
Django queryset exists
Python Django
13 votes154 views2 answers
How to get last letter of string python
Python
1 vote176 views1 answer
How to merge two column pandas
Python
2 votes210 views2 answers
Sigmoid in python from scratch
Python
0 vote170 views1 answer
Aes in django
Python
2 votes181 views1 answer
Converting datetime object format to datetime format python
Python
0 vote207 views1 answer
How to do more than or less than as a condition in pythonb
Python
0 vote186 views1 answer
Python turn off printing
Python