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.

Пікірлер: 8

  • @privateeye242
    @privateeye2424 жыл бұрын

    Very well done, good explanation!

  • @tanmayagarwal8513
    @tanmayagarwal85133 жыл бұрын

    This helped a lot! Thanks!

  • @tanmayagarwal8513
    @tanmayagarwal85133 жыл бұрын

    Hurray! You got a new subscriber!

  • @arpitakale5281
    @arpitakale5281 Жыл бұрын

    Informative

  • @riteshuppal4955
    @riteshuppal49553 жыл бұрын

    Very nice explanation

  • @ajayantony7419
    @ajayantony74194 жыл бұрын

    great one

  • @vishwamohan6625
    @vishwamohan66254 жыл бұрын

    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??

  • @christiangunardi7189
    @christiangunardi7189 Жыл бұрын

    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 🙏🏻

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