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

0 vote165 views1 answer
Python capitalize first letter of string without changing the rest
Python
4 votes152 views2 answers
Sum group by pandas and create new column
Python
3 votes141 views2 answers
How to take multiple input python
Python
0 vote144 views1 answer
Is there a way to refer back to a previous line in python
Python
0 vote151 views1 answer
Get key of min value
Python
78 votes170 views6 answers
How to wait in python
Python
0 vote152 views1 answer
Python get nearest value in list
Python
0 vote143 views1 answer
Pythagorean theorem calc: find c, a=n
Python
0 vote144 views1 answer
Add metadata png PIL
Python
0 vote151 views1 answer
RuntimeError: Please set pin numbering mode using GPIO.setmode(GPIO.BOARD) or GPIO.setmode(GPIO.BCM)
Python