matrix operations | eye function ()

numpy.matlib.eye() — another function to do matrix operations in numpy. Returns a matrix with diagonal ones 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 nx 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   # import 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:

 Output matrix: [[1.0.0 .] [0. 1. 0.] [0. 0. 1.]] 

Code # 2:

# Python program explaining # numpy.matlib.eye () function   # import numpy library and matrix 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:

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