Python – Counter.items(), Counter.keys() and Counter.values()
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
from collections import Counter
list = [ 1 , 1 , 2 , 3 , 4 , 5 ,
6 , 7 , 9 , 2 , 3 , 4 , 8 ]
ob = Counter( list )
items = ob.items()
print ( "The datatype is "
+ str ( type (items)))
print (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
from collections import Counter
list = [ 1 , 1 , 2 , 3 , 4 , 5 ,
6 , 7 , 9 , 2 , 3 , 4 , 8 ]
ob = Counter( list )
keys = ob.keys()
print ( "The datatype is "
+ str ( type (keys)))
print (keys)
for i in keys:
print (i)
|
Output :
The datatype is
dict_keys([1, 2, 3, 4, 5, 6, 7, 9, 8])
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
from collections import Counter
list = [ 1 , 1 , 2 , 3 , 4 , 5 ,
6 , 7 , 9 , 2 , 3 , 4 , 8 ]
ob = Counter( list )
values = ob.values()
print ( "The datatype is "
+ str ( type (values)))
print (values)
for i in values:
print (i)
|
Output :
The datatype is
dict_values([2, 2, 2, 2, 1, 1, 1, 1, 1])
2
2
2
2
1
1
1
1
1
Share your thoughts in the comments
Please Login to comment...