Remove duplicates from dataframe, based on two columns A,B, keeping row with max value in another column C
I have a pandas dataframe which contains duplicates values according to two columns (A and B):
duplicates
Removing Duplicates From Dictionary
I have the following Python 2.7 dictionary data structure (I do not control source data – comes from another system as is):
Group duplicate column IDs in pandas dataframe
Now there are a lot of similar questions but most of them answer how to delete the duplicate columns. However, I want to know how can I make a list of tuples where each tuple contains the column names of duplicate columns. I am assuming that each column has a unique name. Just to further illustrate my question:
How to concatenate two dataframes without duplicates?
I’d like to concatenate two dataframes A, B to a new one without duplicate rows (if rows in B already exist in A, don’t add):
How can I remove duplicate words in a string with Python?
Following example:
TypeError: unhashable type: ‘list’ when using built-in set function
I have a list containing multiple lists as its elements
Intersection of two lists, keeping duplicates in the first list
I have two flat lists where one of them contains duplicate values.
For example,
Duplicating model instances and their related objects in Django / Algorithm for recusrively duplicating an object
I’ve models for Books, Chapters and Pages. They are all written by a User: