Best Practices for Handling Duplicate Elements in Python Lists

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 unique_list containing only the distinct elements from the original_list. Keep in mind that the order of elements might not be preserved using the set approach as sets are unordered collections. The loop and list comprehension methods will maintain the order of the elements.

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