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

3 votes149 views3 answers
Pandas date_range
Python
57 votes140 views6 answers
Python 2 decimal places
Python
0 vote141 views1 answer
Pyevtk documentation writearraystovtk
Python
0 vote169 views1 answer
Free download django app for windows 10
Python Django
2 votes137 views2 answers
Python sort based on multiple keys
Python
0 vote150 views1 answer
Give cell format to condition pandas dataframe
Python
5 votes141 views3 answers
Converting string array to int array python
Python
7 votes137 views2 answers
How to revert a list python
Python
0 vote149 views1 answer
Stack data horizontally pandas
Python
0 vote295 views1 answer
OpenPyXl Get Sheet Names
Python