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
# 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 Diagonal elements : \n", geek.diag(a), "\n") print("Diagonal above main diagonal : \n", geek.diag(a, 1), "\n") print("Diagonal below main diagonal : \n", geek.diag(a, -1)) |
Output :
Main Diagonal elements : [ 1 434 56] Diagonal above main diagonal : [21 3] Diagonal below main diagonal : [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 online IDE’s, so run them on your systems to explore them
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