Select Multiple Rows and Columns From a Pandas DataFrame | GeeksforGeeks

preview_player
Показать описание
In this video, we're going to discuss how to select multiple rows and columns in Pandas DataFrame. There are various methods for doing it such as loc[], iloc[], ix[], etc. ​Let's understand each of them with the help of live examples.

Check Out the Related Article:

This video is contributed by Akshit Madan.
Please Like, Comment, and Share the Video with your friends.

#python​​ #pandas​​ #geeksforgeeks #dataframe​​ #datascience​​ #pythonpandas​​ #eda​​

Install our Android App:

If you wish, translate into the local language and help us reach millions of other geeks:

Follow us on our Social Media Handles -

Also, Subscribe if you haven't already! :)
Рекомендации по теме
Комментарии
Автор

Thank you so much 🙏
It's very helpful.

artikabade
Автор

Hi sir I have got an error while uploading a file in Jupiter note book
It shows buffer is smaller than requested size
What does it mean
How to solve pls tel me sir

devisatya
Автор

Would have been nice to know how to select all rows for a particular column value.

athensrags
Автор

what if i want to print a row which has max salary ?

darkhorse
Автор

IF I WANT TO PRINT MALE AND FIRST NAME LIKE LARRY THEN PLZ ANSWER

gamingwithlegend