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 modulefrom collections import Counter# making a listlist = [1, 1, 2, 3, 4, 5, 6, 7, 9, 2, 3, 4, 8]# instantiating a Counter objectob = Counter(list)# Counter.items()items = ob.items()print("The datatype is " + str(type(items)))# displaying the dict_itemsprint(items)# iterating over the dict_itemsfor 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 modulefrom collections import Counter# making a listlist = [1, 1, 2, 3, 4, 5, 6, 7, 9, 2, 3, 4, 8]# instantiating a Counter objectob = Counter(list)# Counter.keys()keys = ob.keys()print("The datatype is " + str(type(keys)))# displaying the dict_itemsprint(keys)# iterating over the dict_itemsfor 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
# importing the modulefrom collections import Counter# making a listlist = [1, 1, 2, 3, 4, 5, 6, 7, 9, 2, 3, 4, 8]# instantiating a Counter objectob = Counter(list)# Counter.values()values = ob.values()print("The datatype is " + str(type(values)))# displaying the dict_itemsprint(values)# iterating over the dict_itemsfor 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
