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

11 votes388 views2 answers
Set os environment variable python
Python
0 vote347 views1 answer
Ax text relative coordinates
Python
0 vote351 views1 answer
Python write line break
Python
6 votes346 views4 answers
* pattern program in python
Python
0 vote330 views1 answer
How to replace an element of a list using list comprehension
Python
0 vote344 views1 answer
UTC to ISO 8601:
Python
0 vote415 views1 answer
Flask mongoengine getting started
Python Flask
0 vote405 views1 answer
Check permissions django template
Python
0 vote366 views1 answer
Try and exception
Python
7 votes369 views2 answers
Python how to use logarithm
Python