# Python – Remove Duplicate subset Tuples

Sometimes, while working with Python tuples, we can have a problem in which we need to perform removal of tuples, which are already present as subsets in other tuples. This kind of problem can be use ful in data preprocessing. Let’s discuss certain ways in which this task can be performed.

Input : test_list = [(6, 9, 17, 18), (15, 34, 56), (6, 7, 10), (6, 7), (6, 9), (15, 34)], K = 2
Output : [(6, 9, 17, 18), (15, 34, 56), (6, 7, 10)]

Input : test_list = [(6, 9, 17, 18), (15, 34, 56), (6, 7, 10)], K = 2
Output : [(6, 9, 17, 18), (15, 34, 56), (6, 7, 10)]

Method #1 : Using `setdefault()` + list comprehension
This is one of the way in which this task can be solved. In this, we perform the task of initializing the list and keeping elements to compare. At last, list comprehension is used to perform removal of subset tuples. This method gives flexibility of size of tuples for removal.

 `# Python3 code to demonstrate working of  ` `# Remove Duplicate subset Tuples ` `# Using setdefault() + list comprehension ` ` `  `# initializing lists ` `test_list ``=` `[(``6``, ``9``, ``17``, ``18``), (``15``, ``34``, ``56``), (``6``, ``7``), (``6``, ``9``), (``15``, ``34``)] ` ` `  `# printing original list ` `print``(``"The original list is : "` `+` `str``(test_list)) ` ` `  `# initializing K  ` `K ``=` `2` ` `  `# Remove Duplicate subset Tuples ` `# Using setdefault() + list comprehension ` `temp ``=` `{} ` `for` `sub ``in` `test_list: ` `    ``temp2 ``=` `sub[:K] ` `    ``temp.setdefault(temp2, []).append(sub) ` `res ``=` `[sub ``for` `sub ``in` `test_list ``if` `len``(sub) > K ``or` `len``(temp[sub]) ``=``=` `1``] ` ` `  `# printing result  ` `print``(``"Tuple list after removal : "` `+` `str``(res))  `

Output :

```The original list is : [(6, 9, 17, 18), (15, 34, 56), (6, 7), (6, 9), (15, 34)]
Tuple list after removal : [(6, 9, 17, 18), (15, 34, 56), (6, 7)]
```

Method #2 : Using `all() + any()` + loop
The combination of above functions provide yet another way to solve this problem. In this, we test for all subsets, irrespective of sizes. The any() function is used to check if any of the tuple is new in all elements of particular tuple extracted using all().

 `# Python3 code to demonstrate working of  ` `# Remove Duplicate subset Tuples ` `# Using all() + any()+ loop ` ` `  `# initializing lists ` `test_list ``=` `[(``6``, ``9``, ``17``, ``18``), (``15``, ``34``, ``56``), (``6``, ``7``), (``6``, ``9``), (``15``, ``34``)] ` ` `  `# printing original list ` `print``(``"The original list is : "` `+` `str``(test_list)) ` ` `  `# Remove Duplicate subset Tuples ` `# Using all() + any() + loop ` `res ``=` `[] ` `test_list ``=` `sorted``(test_list, key ``=` `lambda` `x: ``len``(x)) ` `for` `idx, sub ``in` `enumerate``(test_list): ` `    ``if` `any``(``all``(ele ``in` `sub2 ``for` `ele ``in` `sub) ``for` `sub2 ``in` `test_list[idx ``+` `1``:]): ` `        ``pass`  `    ``else``: ` `        ``res.append(sub) ` ` `  `# printing result  ` `print``(``"Tuple list after removal : "` `+` `str``(res))  `

Output :

```The original list is : [(6, 9, 17, 18), (15, 34, 56), (6, 7), (6, 9), (15, 34)]
Tuple list after removal : [(6, 9, 17, 18), (15, 34, 56), (6, 7)]
```

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