numpy matrix operations | eye() function

Syntax : numpy.matlib.eye(n, M=None, k=0, dtype='float', order='C') Parameters : n : [int] Number of rows in the output matrix. M : [int, optional] Number of columns in the output matrix, defaults is n. k : [int, optional] Index of the diagonal. 0 refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.Default is 0. dtype : [optional] Desired output data-type. order : Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory. Return : A n x M matrix where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one.

# Python program explaining # numpy.matlib.eye() function # importing matrix library from numpy import numpy as geek import numpy.matlib # desired 3 x 3 output matrix  out_mat = geek.matlib.eye(3, k = 0) print ("Output matrix : ", out_mat) 

 Output matrix : [[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]] 

# Python program explaining # numpy.matlib.eye() function # importing numpy and matrix library import numpy as geek import numpy.matlib # desired 4 x 5 output matrix  out_mat = geek.matlib.eye(n = 4, M = 5, k = 1, dtype = int) print ("Output matrix : ", out_mat) 

 Output matrix : [[0 1 0 0 0] [0 0 1 0 0] [0 0 0 1 0] [0 0 0 0 1]]