Pandas Drop Duplicates // Drop duplicate rows in Python pandas with examples for subset and keep
Learn how to drop duplicate rows in Python pandas dataframes with this quick tutorial. This video from my "Pandas Tips" series walks you through finding duplicate rows (with pandas duplicated method) and dropping duplicate rows with pandas drop_duplicates method. You'll also be able to level up your Python pandas skills by dropping duplicates based on one or multiple columns using the drop duplicates subset option. Then tell pandas which duplicate you'd like to keep using the keep argument within the Python pandas drop duplicates method. You can even drop all duplicates from your pandas dataframe by setting keep equal to False. Finally, make your changes permanent by switching on the pandas drop duplicates inplace argument. Check this video out to level up your Python pandas skills and make the most out of the pandas drop duplicates function -- happy data cleaning!
0:00 Set up and data
1:08 Find duplicate rows
2:21 Drop duplicate rows
3:39 Drop duplicates by a column (SUBSET)
5:31 Drop duplicates by multiple columns
7:16 Select which duplicate to KEEP
8:33 Drop ALL duplicates (keep=False)
9:29 Save changes: inplace
10:24 Conclusion & BLOOPS
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Watch video Pandas Drop Duplicates // Drop duplicate rows in Python pandas with examples for subset and keep online without registration, duration hours minute second in high quality. This video was added by user Kimberly Fessel 10 January 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 915 once and liked it 66 people.