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 vote255 views1 answer
Response is not defined python
Python
2 votes237 views1 answer
Django EMAIL_BACKEND console
Python Django
29 votes189 views3 answers
Print no new line python
Python
1 vote171 views1 answer
Get attribute in selenium python
Python
0 vote182 views1 answer
Countvectorizer minimum frequency
Python
1 vote203 views1 answer
Gonad
Python
0 vote179 views1 answer
Import system in python
Python
14 votes194 views4 answers
Python permutation
Python
0 vote182 views1 answer
How make aloop in python
Python
0 vote192 views1 answer
Converting (YYYY-MM-DD-HH:MM:SS) date time
Python