Python Pandas Tutorial 19 | How to Identify and Drop Duplicate Values | Removing duplicate values
In this video I have talked about how you can identify and drop duplicate values in python. In pandas library you have two very straight forward functions duplicated() and drop_duplicates() to perform these operations and in this video I have shown you how you can apply these functions along with their various parameters like keep, inplace and subset.
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Very well done, good explanation!
This helped a lot! Thanks!
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Informative
Very nice explanation
great one
Hi, what if i want to sum up the quantity coloumn of the duplicate customer name and then drop the rows. can you please help how it can be done??
Can you please explain a bit further whats the difference between orders[Customer name ]and if its written in drop duplicates (subset=customer name) Thankyou 🙏🏻