Numpy eye - Python NumPy eye() Function

NumPy eye() Function:

Numpy eye: The eye() function creates a two-dimensional array(2D) with ones on the diagonal and zeros elsewhere.

Syntax:

numpy.eye(N, M=None, k=0, dtype='float', order='C')

Parameters

N: This is required. It represents the number of rows in the output.

M: This is optional. It represents the number of columns in the output. If there is no value(None), it defaults to N.

k: This is optional. It represents the index of the diagonal. The main diagonal is represented by 0 (the default), an upper diagonal by a positive value, and a lower diagonal by a negative value.

dtype: This is optional. The returned array’s data type. It is float by default.

order: This is optional. It represents If the output should be stored in memory in row-major (C-style) or column-major (Fortran-style) order

Return Value:

An ndarray of shape(N, M) is returned. Except for the k-th diagonal, which has a value of one, all entries in this array are equal to zero.

NumPy eye() Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random N value as an argument to the eye() function and store it in a variable.
Print the above obtained first array.
Pass some random N, M, and positive K values as arguments to the eye() function and store it in another variable.
Print the above obtained second array.
Pass some random N, M, negative K value, and datatype as int as arguments to the eye() function and store it in another variable.
Print the above obtained Third array.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np

# Pass some random N value as an argument to the eye() function and 
#  Store it in a variable.
gvn_arry1 = np.eye(N=4)
# Print the above obtained first array.
print("The above obtained first array(N=3):\n", gvn_arry1)

# Pass some random N, M and positive K values as arguments to the eye() function and 
# Store it in another variable.
gvn_arry2 = np.eye(N=3, M=4, k=1)
# Print the above obtained second array.
print("The above obtained second array(N=3, M=4, k=1):\n", gvn_arry2)

# Pass some random N, M, negative K value, and datatype as int as arguments to the eye() 
# function and Store it in another variable.
gvn_arry3 = np.eye(N=3, M=4, k=-1, dtype=int)
# Print the above obtained Third array.
print("The above obtained Third array(N=3, M=4, k=-1):\n", gvn_arry3)

Output:

The above obtained first array(N=3):
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]
 [0. 0. 0. 1.]]
The above obtained second array(N=3, M=4, k=1):
[[0. 1. 0. 0.]
 [0. 0. 1. 0.]
 [0. 0. 0. 1.]]
The above obtained Third array(N=3, M=4, k=-1):
[[0 0 0 0]
 [1 0 0 0]
 [0 1 0 0]]

Numpy eye – Python NumPy eye() Function

NumPy eye() Function in Python

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