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# numpy.eye () in Python

numpy.eye (R, C = No, k = 0, dtype = type "& # 39; float & # 39;"): Returns a matrix with 1 on the diagonal and 0 elsewhere relative to k
Parameters :

`  R:  Number of rows  C:  [optional] Number of columns; By default M = N  k:  [int, optional, 0 by default] Diagonal we require; k" 0 means diagonal above main diagonal or vice versa.  dtype:  [optional, float (by Default)] Data type of returned array. `

Returns :

` array of shape, R x C, an array where all elements are equal to zero, except for the k-th diagonal, whose values ​​are equal to one. `

 ` # Python Programming Illustrative ` ` # numpy.eye method `   ` import ` ` numpy as geek ` ` `  ` Matrix # 2x2 with 1 on the main diagnosis ` ` b ` ` = ` ` geek.eye (` ` 2 ` `, dtype ` ` = ` ` float ` `) ` ` print ` ` (` < code class = "string"> "Matrix b:" `, b) ` ` `  ` # matrix with R = 4 C = 5 and 1 for diagnosis ` ` # below the main diagnosis ` ` a ` ` = ` ` geek.eye (` ` 4 ` `, ` ` 5 ` `, k ` ` = ` ` - ` ` 1 ` `) ` ` print ` ` (` ` "Matrix a:" ` `, a) `

Output:

` Matrix b: [[1. 0.] [0. 1.]] Matrix a: [[0. 0. 0. 0. 0 .] [1. 0. 0. 0. 0.] [0. 1. 0. 0. 0.] [0. 0. 1. 0. 0.]] `

Notes :
These codes will not work for an online ID. Please run them on your systems to see how they work

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