 # Python | Write similar events of a tuple

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

A combination of the above functions can be used to accomplish this task. In this, before feeding the data to ` Counter () ` to count occurrences, we sort the data so that all unordered tuples are ordered to count the same units.

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``` # Python3 code to demonstrate how it works # Record similar cases of tuples # Using Counter () + map () + sorted from collections import Counter   # initialize the list test_list = [( 3 , 1 ), ( 1 , 3 ), ( 2 , 5 ) , ( 5 , 2 ), ( 6 , 3 )]   # print original list print ( "The original list is: " + str (test_list))   # Record similar cases of tuples # Using Counter () + map () + sorted res = dict (Counter ( tuple (ele) for ele in map ( sorted , test_list)))   # print 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 () `

A combination of the above functions can be used to accomplish this particular task. In this case, the task performed by ` frozenset () ` ` sorted and map () ` is executed by ` frozenset () ` which internally orders the tuples.

 ` # Python3 code to demonstrate how it works ` ` # Record similar cases of tuples ` ` # Using frozenset () + Counter () ` ` from ` ` collections import Counter ````   # initialize the list ```` test_list = [( 3 , 1 ), ( 1 , ` ` 3 ` `), (` ` 2 ` `, ` ` 5 ` `), (` ` 5 ` `, ` ` 2 ` `), (` ` 6 ` `, ` ` 3 ` `)] ````   # print original list print ( "The original list is:" + str (test_list))    # Record similar cases of tuples # Using frozenset () + Counter () r es = dict (Counter ( tuple ( frozenset (ele)) for ele in test_list) )   # print 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}

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