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
# 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" )
# Diagonal above main diagonal print ( "diagflat above main diagonal : \n" , geek.diagflat([ 1 , 7 , 6 ], 1 ), "\n" )
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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.