# numpy.eye() in Python

numpy.eye(R, C = None, k = 0, dtype = type <‘float’>) : Return a matrix having 1’s on the diagonal and 0’s elsewhere w.r.t. 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 illustrating
# numpy.eye method

import numpy as geek

# 2x2 matrix with 1's on main diagnol
b = geek.eye(2, dtype = float)
print("Matrix b : \n", b)

# matrix with R=4 C=5 and 1 on diagnol
# below main diagnol
a = geek.eye(4, 5, k = -1)
print("\nMatrix a : \n", 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.]]```

Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working

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