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Best Practices for Handling Duplicate Elements in Python Lists

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Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.  01. Using a Set Convert the list into a set , which automatically removes duplicates due to its unique element nature, and then convert the set back to a list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = list(set(original_list)) 02. Using a Loop Iterate through the original list and append elements to a new list only if they haven't been added before. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] for item in original_list:     if item not in unique_list:         unique_list.append(item) 03. Using List Comprehension Create a new list using a list comprehension that includes only the elements not already present in the new list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] [unique_list.append(item) for item in original_list if item not in unique_list] All three methods will result in uni
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Python Set comprehension - How to Use it Read now

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In python, Set does not allow duplicates, and  you can't modify an existing set with a comprehension. But using the Set comprehension you can create a new Set.


set comprehension


Set Comprehension 


In addition, the comprehension must result in a valid set.  Likewise Dictionary, a set does not allow entries of the same value.


If you try to add values to the set that are already there, it will replace the old one with the new one.

Explained syntax

Set comprehensions using the {} syntax only exist in Python 3. Before that, you'll have to use the set() function to create and work with sets. You might guess, therefore, that one of the best uses of a set is to eliminate duplicates.

In fact, this is one of the most basic forms of set comprehension. Given a list, we can duplicate it as a list with a simple list comprehension like this:

Details of logic

if we change the list comprehension to a set comprehension, we get the same result, but as a set. That means without duplicates.

list_copy = [x for x in original_list]
 

Sample Set comprehension

my_list_with_dupes = [1,2,1,2,3,4,1,2,3,4,5,6,7,1,2,3] 
my_set_without_dupes = {x for x in my_list_with_dupes} 
print(my_set_without_dupes) 

{1, 2, 3, 4, 5, 6, 7}


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