Removing duplicates in lists
How do I get a new list without duplicates?
duplicates
Drop all duplicate rows across multiple columns in Python Pandas
The pandas drop_duplicates function is great for “uniquifying” a dataframe. However, one of the keyword arguments to pass is take_last=True or take_last=False, while I would like to drop all rows which are duplicates across a subset of columns. Is this possible?
How do I find the duplicates in a list and create another list with them?
How can I find the duplicates in a Python list and create another list of the duplicates? The list only contains integers.
Removing elements that have consecutive duplicates
I was curios about the question: Eliminate consecutive duplicates of list elements, and how it should be implemented in Python.
Remove pandas rows with duplicate indices
How to remove rows with duplicate index values?
Remove duplicates by columns A, keeping the row with the highest value in column B
I have a dataframe with repeat values in column A. I want to drop duplicates, keeping the row with the highest value in column B.
How do I get a list of all the duplicate items using pandas in python?
I have a list of items that likely has some export issues. I would like to get a list of the duplicate items so I can manually compare them. When I try to use pandas duplicated method, it only returns the first duplicate. Is there a a way to get all of the duplicates and not just the first one?
How do I check if there are duplicates in a flat list?
For example, given the list ['one', 'two', 'one'], the algorithm should return True, whereas given ['one', 'two', 'three'] it should return False.
What’s the most Pythonic way to identify consecutive duplicates in a list?
I’ve got a list of integers and I want to be able to identify contiguous blocks of duplicates: that is, I want to produce an order-preserving list of duples where each duples contains (int_in_question, number of occurrences).
Python json parser allow duplicate keys
I need to parse a json file which unfortunately for me, does not follow the prototype. I have two issues with the data, but i’ve already found a workaround for it so i’ll just mention it at the end, maybe someone can help there as well.