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

4 votes185 views1 answer
What makes the bot talk? is there a word i have to say?
Python
0 vote202 views2 answers
Gcp jupyter use python variables in magic bigquery
Python
4 votes187 views2 answers
Python input comma separated values
Python
109 votes191 views6 answers
Python check if string contains substring
Python
1 vote199 views1 answer
Connecting Kaggle to Google Colab
Python
0 vote177 views1 answer
Erase % sign in row pandas
Python
1 vote178 views1 answer
How to get the mouse input in pygame
Python
0 vote257 views1 answer
How to iterate through ordereddict in python
Python
1 vote217 views1 answer
Tkinter remove frame
Python
0 vote217 views1 answer
Enumerate items python
Python