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Python | Object counter | elements ()

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Counter — it is a subclass that is used to count hash objects. It implicitly creates a hash table of the iterable when called.

elements() is one of the functions of the Counter class, when called on the Counter object, it returns itertool all known elements in the Counter object.

Parameters: Doesn’t take any parameters

Return type: Returns an itertool for all the elements with positive count in the Counter object

Errors and Exceptions:

-"  It will print garbage value when directly printed because it returns an itertool, not a specific data-container.
-"  If the count of an item is already initialized in Counter object, then it will ignore the ones with zero and negative values.

Code # 1: Elements () working on a simple data container

# import counter class from collections module

from collections import Counter

 
# Create a Counter Class object using
# string as an iterative data container

x = Counter ( " pythonengineering " )

  
# print object counter items

for i in x.elements ():

print (i, end = " " )

Exit :

 ggeeeekkssfor 

Code # 2: elements on different counter objects with different data containers

# import counter class from collections module

from collections import Counter

  
# Create a Counter Class object using
# string as an iterative data container
# Example - 1

a = Counter ( "pythonengineering" )

 
# Object counter elements

for i in a.elements ():

print (i, end = "" )

print ()

 
# Example - 2 < / p>

b = Counter ({ ’geeks’ : 4 , ’for’ : 1

’gfg’ : 2 , ’python’ : 3 })

  

for i in b.elements ():

print (i, end = "" )

print ()

 
# Example - 3

c = Counter ([ 1 , 2 , 21 , 12 , 2 , 44 , 5 ,

13 , 15 , 5 , 19 , 21 , 5 ])

 

for i in c.elements ():

  print (i, end = "" )

print () 

 
# Example - 4

d = Counter (a = 2 , b = 3 , c = 6 < / code> , d = 1 , e = 5 )

 

for i in d.elements ():

print (i, end = "" )

Exit :

 okkfreeeessgg for python python python geeks geeks geeks geeks gfg gfg 1 2 2 19 21 21 44 15 12 13 5 5 5 aaeeeeebbbccccccd 

Code # 3: To demonstrate which elements () are returned by direct printing

Exit: 

 itertools.chain object at 0x037209F0 

Code # 4: when the item count in the counter is initialized to negative values ​​or zero.

# Counter for imports from collections

from collections import Counter

  
# create raw dataset

x = Counter ( "pythonengineering" )

 
# will return the itertools chain object
# which is basically a pseudo repeatable container whose
# elements can be used when called with an iterative tool

print (x.elements ())

Exit :

 a: 2 a: 2 x: 3 x: 3 x: 3 b: 3 b: 3 b: 3 z: 1 y: 5 y: 5 y: 5 y: 5 y: 5 

Note: from the output we can infer that elements with elements () are omitted with values ​​less than 1.

Applications:
The object counter, along with its functions, is shared to process huge amounts of data. We can see that Counter () creates a hashmap for the data container called with it, which is very useful than when manually processing items. It is one of the very efficient processing tools and functionality that can work even with a wide range of data.

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# Counter for imports from collections

from collections import Counter

 
# create a raw dataset using keyword arguments

x = Counter (a = 2 , x = 3 , b = 3 , z = 1 , y = 5 , c = 0 , d = - 3 )

  
# print items

for i in x.elements ():

print ( "% s:% s " % (i, x [i]), end = "" )