numpy.equal () in Python

Michael Zippo 18.07.2021

Parameters:

arr1: [array_like] Input array
arr2: [ array_like] Input array

out: [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 element-wise

Code 1:

# Python program illustrating
# numpy.equal () method

import numpy as geek

a = geek.equal ([ 1. , 2. ], [ 1. , 3. ])

print ( "Check to be Equal:" , a, "" )

b = geek.equal ([ 1 , 2 ], [[ 1 , 3 ], [ 1 , 4 ]])

print ( "Check to be Equal:" , b, " " )

Exit :

 Check to be Equal: [True False] Check to be Equal: [[True False] [True False]]

Code 2: Comparison data type using the .equal () function

# Python program illustrating
# numpy.equal () method

import numpy as geek

# Here we compare complex values with int

a = geek.array ([ 0 + 1j , 2 ])

b = geek.array ([ 1 , 2 ])

d = geek.equal (a, b)

print ( "Comparing complex with int using .equal ():" , d)

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 / numpy-1.13.0 / reference / generated / numpy.equal.html
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numpy.equal () in Python

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