Python | Remove duplicates from nested list
The task of removing duplicates many times in recent past, but sometimes when we deal with the complex data structure, in those cases we need different techniques to handle this type of problem. Let’s discuss certain ways in which this task can be achieved.
Method #1 : Using sorted() + set()
This particular problem can be solved using the above functions. The idea here is to sort the sublist and then removing the like elements using the set operations which removes duplicates.
# Python3 code to demonstrate# removing duplicate sublist # using set() + sorted() # initializing listtest_list = [[1, 0, -1], [-1, 0, 1], [-1, 0, 1], [1, 2, 3], [3, 4, 1]] # printing original listprint("The original list : " + str(test_list)) # using set() + sorted()# removing duplicate sublistres = list(set(tuple(sorted(sub)) for sub in test_list)) # print resultprint("The list after duplicate removal : " + str(res)) |
The original list : [[1, 0, -1], [-1, 0, 1], [-1, 0, 1], [1, 2, 3], [3, 4, 1]] The list after duplicate removal : [(-1, 0, 1), (1, 3, 4), (1, 2, 3)]
Method #2 : Using set() + map() + sorted()
The task performed by the list comprehension in the above method can be modified using the map function using lambda functions to extend the logic to each and every sublist.
# Python3 code to demonstrate# removing duplicate sublist # using set() + map() + sorted() # initializing listtest_list = [[1, 0, -1], [-1, 0, 1], [-1, 0, 1], [1, 2, 3], [3, 4, 1]] # printing original listprint("The original list : " + str(test_list)) # using set() + map() + sorted()# removing duplicate sublistres = list(set(map(lambda i: tuple(sorted(i)), test_list))) # print resultprint("The list after duplicate removal : " + str(res)) |
The original list : [[1, 0, -1], [-1, 0, 1], [-1, 0, 1], [1, 2, 3], [3, 4, 1]] The list after duplicate removal : [(-1, 0, 1), (1, 3, 4), (1, 2, 3)]
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