  # matrix operations | eye function ()

NumPy | Python Methods and Functions

`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]] `