How to Remove Columns From Pandas Dataframe? | GeeksforGeeks

In this video, we're going to discuss how to remove the columns from a Python Pandas DataFrame. There are various methods for removing or dropping columns from Pandas DataFrame such as drop(), drop() with iloc[], iterative method, etc. So, let's understand each of them with the help of live examples.

00:00 Let's Start
00:58 Dropping a Column from a DataFrame Using drop()
02:01 Dropping Multiple Columns from a DataFrame Using drop()
02:27 Dropping Columns Using drop() Based on Column Indices
03:24 Dropping Columns from a DataFrame Using drop() with iloc[]
05:38 Dropping Columns from a DataFrame Using drop() with loc[]
07:16 Dropping Columns from a DataFrame by Iterative Way
08:48 Closing Notes

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This video is contributed by Akshit Madan.

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[vitorribeirosa]

Thanks for sharing this content.
It was very useful!!!

Cheers

[amarsharma]

Sir, Is there any way we can copy the data from Share Point to Local

[mohammeddanishreza]

Does it actually delete the column from source dataframe or file ?

[kalyanreddygangavaram]

How can we remove first column where it is showing index from 0 to N

[lohithraj]

@1:36 you say axis = 1 is columns, but axis = 1 for rows, so?

[mwredfern]

its irritating that i use to be able to access and learn from your website, without having to give up my email address to you. i am NOT giving you my email address to create an account, so I can access your site tutorials.