Generating a "Set Of Tuples" from A "List of Tuples" - Python

We are given a list of tuples and we need to extract only the unique tuples while removing any duplicates. This is useful in scenarios where you want to work with distinct elements from the list. For example:
We are given this a list of tuples as [(1, 2), (3, 4), (1, 2), (5, 6)] then the output will be {(1, 2), (3, 4), (5, 6)}

Using the set() Function

We use the built-in set() function which converts the list into a set thereby automatically eliminating any duplicate tuples in the process. ( Since sets do not allow duplicate elements, any duplicate tuples in the list are removed when converted. )

{(1, 2), (3, 4), (5, 6)}

Using a Dictionary

Another approach to remove duplicates from a list of tuples and generate a set of unique tuples is by using a dictionary, this method takes advantage of the fact that dictionary keys must be unique.

{(1, 2), (3, 4), (5, 6)}

Explanation:

• dict.fromkeys(l) creates a dictionary d with each tuple from the list l as a key since dictionary keys must be unique hence duplicates are removed.
• set(d.keys()) is used to convert the keys into a set of unique tuples s.

Using the itertools Library

itertools library is really useful when working with iterators and the groupby() function can be used to eliminate duplicate tuples from a sorted list allowing us to generate a set of unique tuples.

{(1, 2), (3, 4), (5, 6)}

Explanation:

• sorted(l) is used to sort the list l so that identical tuples are placed next to each other then by using groupby(l_sorted) we can group identical consecutive tuples in the sorted list l_sorted.
• next(g) selects the first tuple from each group.

Using a Custom Function

We define a custom function that iterates over the list of tuples checking for duplicates and ensuring only unique tuples are added to the result. A set is used to track the encountered tuples and avoid duplicates.