# Python | Record Similar tuple occurrences

• Last Updated : 22 Sep, 2022

Sometimes, while working with data, we can have a problem in which we need to check the occurrences of records that occur at similar times. This has applications in the web development domain. Let’s discuss certain ways in which this task can be performed.

Method #1 : Using map() + Counter() + sorted

The combination of the above functionalities can be used to perform this task. In this, before feeding data to Counter(), for counting occurrences, sort the data to make all unordered tuple ordered to count similar ones as one.

## Python3

 `# Python3 code to demonstrate working of``# Record Similar tuple occurrences``# Using Counter() + map() + sorted``from` `collections ``import` `Counter` `# initialize list``test_list ``=` `[(``3``, ``1``), (``1``, ``3``), (``2``, ``5``), (``5``, ``2``), (``6``, ``3``)]` `# printing original list``print``(``"The original list is : "` `+` `str``(test_list))` `# Record Similar tuple occurrences``# Using Counter() + map() + sorted``res ``=` `dict``(Counter(``tuple``(ele) ``for` `ele ``in` `map``(``sorted``, test_list)))` `# printing result``print``(``"The frequency of like tuples : "` `+` `str``(res))`

Output :

```The original list is : [(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)]
The frequency of like tuples : {(2, 5): 2, (1, 3): 2, (3, 6): 1}```

Method #2: Using frozenset() + Counter() The combination of above functions can be used to perform this particular task. In this, the task performed by sorted and map() is performed by the frozenset() which orders the tuples internally.

## Python3

 `# Python3 code to demonstrate working of``# Record Similar tuple occurrences``# Using frozenset() + Counter()``from` `collections ``import` `Counter` `# initialize list``test_list ``=` `[(``3``, ``1``), (``1``, ``3``), (``2``, ``5``), (``5``, ``2``), (``6``, ``3``)]` `# printing original list``print``(``"The original list is : "` `+` `str``(test_list))` `# Record Similar tuple occurrences``# Using frozenset() + Counter()``res ``=` `dict``(Counter(``tuple``(``frozenset``(ele)) ``for` `ele ``in` `test_list))` `# printing result``print``(``"The frequency of like tuples : "` `+` `str``(res))`

Output :

```The original list is : [(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)]
The frequency of like tuples : {(2, 5): 2, (1, 3): 2, (3, 6): 1}```

Method #3:  Using sort() and count() methods

## Python3

 `# Python3 code to demonstrate working of``# Record Similar tuple occurrences` `# initialize list``test_list ``=` `[(``3``, ``1``), (``1``, ``3``), (``2``, ``5``), (``5``, ``2``), (``6``, ``3``)]` `# printing original list``print``(``"The original list is : "` `+` `str``(test_list))` `x ``=` `[]``b ``=` `[]``res ``=` `dict``()``for` `i ``in` `test_list:``    ``a ``=` `list``(i)``    ``a.sort()``    ``a ``=` `tuple``(a)``    ``if` `a ``not` `in` `x:``        ``x.append(a)``    ``b.append(a)``for` `i ``in` `x:``    ``res[i] ``=` `b.count(i)` `# printing result``print``(``"The frequency of like tuples : "` `+` `str``(res))`

Output

```The original list is : [(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)]
The frequency of like tuples : {(1, 3): 2, (2, 5): 2, (3, 6): 1}```

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