/Python/How to access rows and columns indexing numpy

How to access rows and columns indexing numpy

>>> a[[0,1,3], :]            # Returns the rows you want
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [12, 13, 14, 15]])
>>> a[[0,1,3], :][:, [0,2]]  # Selects the columns you want as well
array([[ 0,  2],
       [ 4,  6],
       [12, 14]])

Source: stackoverflow.com

Similar codes

0 vote183 views1 answer
Call item from dictionary python
Python
1 vote198 views1 answer
Numpy complex number
Python
0 vote150 views1 answer
Create a queryset list django
Python
0 vote191 views1 answer
Filter field set in django formds
Python
3 votes241 views1 answer
Python run a system command
Python
1 vote221 views1 answer
ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float).
Python
0 vote183 views1 answer
Traceback (most recent call last): File "c:\Users\asus\OneDrive\Documents\anak sekolah\pip\string formating\no8.py", line 1, in <module> f = open("demofile.txt","r") FileNotFoundError: [Errno 2] No such file or dir
Python
1 vote279 views1 answer
Multiple functions tkinter
Python
3 votes203 views1 answer
Python check array exists
Python
8 votes199 views1 answer
Jupyter column limit pd
Python