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numpy.diag() in Python
  • Last Updated : 29 Nov, 2018

numpy.diag(a, k=0) : Extracts and construct a diagonal array
Parameters :

a : array_like 
k : [int, optional, 0 by default]
          Diagonal we require; k>0 means diagonal above main diagonal or vice versa.

Returns :

ndarray




# Python Programming illustrating
# numpy.diag method
  
import numpy as geek
  
# matrix creation by array input
a = geek.matrix([[1, 21, 30], 
                 [63 ,434, 3], 
                 [54, 54, 56]])
  
print("Main Diagnol elements : \n", geek.diag(a), "\n")
  
print("Diagnol above main diagnol : \n", geek.diag(a, 1), "\n")
  
print("Diagnol below main diagnol : \n", geek.diag(a, -1))


Output :

Main Diagnol elements : 
 [  1 434  56] 

Diagnol above main diagnol : 
 [21  3] 

Diagnol below main diagnol : 
 [63 54]

References :
https://docs.scipy.org/doc/numpy/reference/generated/numpy.diagflat.html#numpy.diagflat
Note :
These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them
.
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