Parameters:
arr1: [array_like] Input array
arr2: [ array_like] Input arrayout: [ndarray, optional] Output array with same dimensions as Input array, placed with result.
** kwargs: allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where: [array_like, optional] True value means to calculate the universal functions (ufunc) at that position, False value means to leave the value in the output alone.
Return:
Returns arr1 == arr2 elementwise
Code 1:

Exit :
Check to be Equal: [True False] Check to be Equal: [[True False] [True False]]
Code 2: Comparison data type using the .equal () function

Output:
Comparing complex with int using .equal (): [False True]
Code 3:
# Python program illustrating
# numpy.not_equal () method
import
numpy as geek
# Here we compare Float with int values
a
=
geek.array ([
1.1
,
1
])
b
=
geek.array ([
1
,
2
])
d
=
geek.not_equal (a, b)
print
(
"Comparing float with int using .not_equal ():"
, d)
Output:
Comparing float with int using .not_equal (): [True True]
Links:
https://docs.scipy .org / doc / numpy1.13.0 / reference / generated / numpy.equal.html
,