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Python – Counter.items(), Counter.keys() and Counter.values()

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  • Last Updated : 27 Oct, 2021

Counter class is a special type of object data-set provided with the collections module in Python3. Collections module provides the user with specialized container datatypes, thus, providing an alternative to Python’s general-purpose built-ins like dictionaries, lists and tuples. Counter is a sub-class that is used to count hashable objects. It implicitly creates a hash table of an iterable when invoked.
 

Counter.items()

The Counter.items() method helps to see the elements of the list along with their respective frequencies in a tuple. 
 

Syntax : Counter.items()
Parameters : None
Returns : object of class dict_items 
 

Example : 
 

Python3




# importing the module
from collections import Counter
 
# making a list
list = [1, 1, 2, 3, 4, 5,
        6, 7, 9, 2, 3, 4, 8]
 
# instantiating a Counter object
ob = Counter(list)
 
# Counter.items()
items = ob.items()
 
print("The datatype is "
      + str(type(items)))
 
# displaying the dict_items
print(items)
 
# iterating over the dict_items
for i in items:
    print(i)


Output : 
 

The datatype is 
dict_items([(1, 2), (2, 2), (3, 2), (4, 2), (5, 1), (6, 1), (7, 1), (9, 1), (8, 1)]) 
(1, 2) 
(2, 2) 
(3, 2) 
(4, 2) 
(5, 1) 
(6, 1) 
(7, 1) 
(9, 1) 
(8, 1) 
 

 

Counter.keys()

The Counter.keys() method helps to see the unique elements in the list.
 

Syntax : Counter.keys()
Parameters : None
Returns : object of class dict_items 
 

Example : 
 

Python3




# importing the module
from collections import Counter
 
# making a list
list = [1, 1, 2, 3, 4, 5,
        6, 7, 9, 2, 3, 4, 8]
 
# instantiating a Counter object
ob = Counter(list)
 
# Counter.keys()
keys = ob.keys()
 
print("The datatype is "
      + str(type(keys)))
 
# displaying the dict_items
print(keys)
 
# iterating over the dict_items
for i in keys:
    print(i)


Output : 
 

The datatype is 
dict_keys([1, 2, 3, 4, 5, 6, 7, 9, 8]) 









 

 

Counter.values()

The Counter.values() method helps to see the frequencies of each unique element. 
 

Syntax : Counter.values()
Parameters : None
Returns : object of class dict_items 
 

Example : 
 

Python3




# importing the module
from collections import Counter
 
# making a list
list = [1, 1, 2, 3, 4, 5,
        6, 7, 9, 2, 3, 4, 8]
 
# instantiating a Counter object
ob = Counter(list)
 
# Counter.values()
values = ob.values()
 
print("The datatype is "
      + str(type(values)))
 
# displaying the dict_items
print(values)
 
# iterating over the dict_items
for i in values:
    print(i)


Output : 
 

The datatype is 
dict_values([2, 2, 2, 2, 1, 1, 1, 1, 1]) 









 

 


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