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# Python | Group and count similar records

• Last Updated : 11 Nov, 2019

Sometimes, while working with records, we can have a problem in which we need to collect and maintain the counter value inside records. This kind of application is important in web development domain. Let’s discuss certain ways in which this task can be performed.

Method #1 : Using loop + `Counter() + set()`
The combination of above functionalities can be employed to achieve this task. In this, we run a loop to capture each tuple and add to set and check if it’s already existing, then increase and add a counter value to it. The cumulative count is achieved by using `Counter()`.

 `# Python3 code to demonstrate working of``# Group and count similar records``# using Counter() + loop + set()``from` `collections ``import` `Counter`` ` `# initialize list``test_list ``=` `[(``'gfg'``, ), (``'is'``, ), (``'best'``, ), (``'gfg'``, ),``                       ``(``'is'``, ), (``'for'``, ), (``'geeks'``, )]`` ` `# printing original list``print``(``"The original list : "` `+` `str``(test_list))`` ` `# Group and count similar records``# using Counter() + loop + set()``res ``=` `[]``temp ``=` `set``()``counter ``=` `Counter(test_list)``for` `sub ``in` `test_list:``    ``if` `sub ``not` `in` `temp:``        ``res.append((counter[sub], ) ``+` `sub)``        ``temp.add(sub)`` ` `# printing result``print``(``"Grouped and counted list is : "` `+` `str``(res))`
Output :

The original list : [(‘gfg’, ), (‘is’, ), (‘best’, ), (‘gfg’, ), (‘is’, ), (‘for’, ), (‘geeks’, )]
Grouped and counted list is : [(2, ‘gfg’), (2, ‘is’), (1, ‘best’), (1, ‘for’), (1, ‘geeks’)]

Method #2 : Using `Counter() + list comprehension + items()`

This is one liner approach and recommended to use for programming. The task of loops is handled by list comprehension and items() is used to access all the elements of Counter converted dictionary to allow computations.

 `# Python3 code to demonstrate working of``# Group and count similar records``# using Counter() + list comprehension + items()``from` `collections ``import` `Counter`` ` `# initialize list``test_list ``=` `[(``'gfg'``, ), (``'is'``, ), (``'best'``, ), (``'gfg'``, ),``                       ``(``'is'``, ), (``'for'``, ), (``'geeks'``, )]`` ` `# printing original list``print``(``"The original list : "` `+` `str``(test_list))`` ` `# Group and count similar records``# using Counter() + list comprehension + items()``res ``=` `[(counter, ) ``+` `ele ``for` `ele, counter ``in` `Counter(test_list).items()]`` ` `# printing result``print``(``"Grouped and counted list is : "` `+` `str``(res))`
Output :

The original list : [(‘gfg’, ), (‘is’, ), (‘best’, ), (‘gfg’, ), (‘is’, ), (‘for’, ), (‘geeks’, )]
Grouped and counted list is : [(2, ‘gfg’), (2, ‘is’), (1, ‘best’), (1, ‘for’), (1, ‘geeks’)]

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