Np choose explain

>>> a = np.array([[1, 2, 3, 4], 
                  [5, 6, 7, 8], 
                  [9, 10, 11, 12], 
                  [13, 14, 15, 16]])
>>> np.choose([0, 2, 1, 3], a)
array([ 1, 10,  7, 16]) # one from each row
>>> np.take(a, [0, 2, 1, 3])
array([1, 3, 2, 4]) # all from same row

Source: stackoverflow.com

Similar codes

75 votes105 views6 answers
Reverse string in python
Python
0 vote91 views1 answer
Django connect to a db on heroku
Python
4 votes55 views2 answers
Python import file from parent directory
Python
0 vote109 views1 answer
Or operator in django queryset
Python
0 vote100 views1 answer
Python interview questions github
Python
5 votes100 views4 answers
Django get or 404
Python
2 votes106 views1 answer
How to return PIL image from opencv
Python
0 vote99 views1 answer
Uninstalling/removing a package is very easy with pip:
Python
18 votes113 views3 answers
Export flask app
Python
1 vote188 views1 answer
Not null constraint failed django
Python