Numpy diag()

>>> x = np.arange(9).reshape((3,3))
>>> x
array([[0, 1, 2],
       [3, 4, 5],
       [6, 7, 8]])

>>> np.diag(x)
array([0, 4, 8])
>>> np.diag(x, k=1)
array([1, 5])
>>> np.diag(x, k=-1)
array([3, 7])

Source: numpy.org

Similar codes

0 vote308 views2 answers
How to install python pip in ubuntu
Python
1 vote328 views2 answers
Cv2 save video mp4
Python
0 vote292 views1 answer
What is the use of extend in python
Python
19 votes307 views2 answers
How to add up everything in a list python
Python
63 votes332 views3 answers
How to calculate sum of a list in python
Python
-1 vote364 views1 answer
Pandas splitting the data based on the day type
Python
0 vote324 views2 answers
Fun & learn with python turtle
Python
2 votes293 views1 answer
Edge detection opencv python
Python
0 vote356 views1 answer
Time complexity for random in python
Python
0 vote292 views1 answer
Change one value based on another value in pandas
Python