In a post on Stackoverflow about identifying duplicate rows in a DataFrame [Stackoverflow Post], Dominykas Mostauskis made a side-comment about how to remove the rows identified. Unfortunately, the comment wasnβt that instructive for beginners.
So, how exactly does one go about removing identified unique rows from a DataFrame permanently?
This will give you exactly one instance of each duplicated row. So you wonβt know if a row is duplicated 5 times or 500 times. This may or may not be what you want, though.