numpy.matlib.eye()
is another function for doing matrix operations in numpy. It returns a matrix with ones on the diagonal and zeros elsewhere.
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.
Code #1 :
# 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.]]
Code #2 :
# 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]]
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