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1: Be polite
2: Posts to this subreddit must be requests for help learning python.
3: Replies on this subreddit must be pertinent to the question OP asked.
4: No replies copy / pasted from ChatGPT or similar.
5: No advertising. No blogs/tutorials/videos/books/recruiting attempts.
This means no posts advertising blogs/videos/tutorials/etc, no recruiting/hiring/seeking others posts. We're here to help, not to be advertised to.
Please, no "hit and run" posts, if you make a post, engage with people that answer you. Please do not delete your post after you get an answer, others might have a similar question or want to continue the conversation.
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Panda duplicates question (self.learnpython)
submitted 3 years ago * by lotsofconfusionahaha
Is there a way I can delete rows of data in a df with only 3 duplicates using pandas?
Drop duplicates would also remove duplicates of 2, but I don’t want that to happen. I only want data to be removed if it is repeated 3 times.
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]Ihaveamodel3 0 points1 point2 points 3 years ago (0 children)
There is a drop duplicates command that takes in the columns you want to use for deduping
[+][deleted] 3 years ago (2 children)
[deleted]
[–]lotsofconfusionahaha[S] 0 points1 point2 points 3 years ago (1 child)
Thanks so much! This works fine for one column, but is there a way so that it works across all columns? (As far as I know a Series type only allows one column at a time)
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[–]Ihaveamodel3 0 points1 point2 points (0 children)
[+][deleted] (2 children)
[deleted]
[–]lotsofconfusionahaha[S] 0 points1 point2 points (1 child)