numpy.diagflat() in Python

Last Updated : 29 Nov, 2018

numpy.diagflat (a, k = 0) : Create a two-dimensional array with the array_like input as a diagonal to the new output array.

Parameters :

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

Returns :

array with the array_like input as a diagonal to the new output array.

# Python Program illustrating
# numpy.diagflat method
  
import numpy as geek
  
print("diagflat use on main diagonal : \n", geek.diagflat([1, 7]), "\n")
  
print("diagflat use on main diagonal : \n", geek.diagflat([1, 7, 6]), "\n")
  
# Diagnol above main diagnol
print("diagflat above main diagonal : \n", geek.diagflat([1, 7, 6], 1), "\n")

Output :

diagflat use on main diagonal  : 
 [[1 0]
 [0 7]] 

diagflat use on main diagonal  : 
 [[1 0 0]
 [0 7 0]
 [0 0 6]] 

diagflat above main diagonal  : 
 [[0 1 0 0]
 [0 0 7 0]
 [0 0 0 6]
 [0 0 0 0]]

Note :
These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them
.
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