Turn numbers into categories with the Pandas "cut" method

How can you turn numeric data into categorical data? Pandas provides us with a simple solution, namely the "cut" method. In this video, I demonstrate how "cut" works, and compare it with the manual creation of categories.

[@faustopf-.]

Your passion is contagious! I came here for the pandas cut tutorial, but I also got a motivation boost. Keep up the good work 💪

[@ReuvenLerner]

Thanks! I'm lucky to do something I really enjoy.

[@iaroslavd.916]

Cool explanation. Very clear!

[@ReuvenLerner]

I'm delighted that it helped!

[@MrTkBL]

great explanation, that helps me a lot, thanks!

[@ReuvenLerner]

I'm delighted to hear it helped!

[@Kavrizhka]

thanksfor your explanation!👍

[@ReuvenLerner]

Glad it helped!

[@oguve278]

Exactly what I was looking for, thanks!

[@ReuvenLerner]

Excellent, glad to hear it!

[@aleksandarpetrovic2632]

Nice tutorial, thank you!

[@ReuvenLerner]

You're welcome!

[@najsh2]

👍👍👍

[@ReuvenLerner]

Delighted it helped!

[@moxieable]

This tutorial will be of immense help. I have a derived dataframe that I have been trying to categorize using python, can I apply the cut method to the entire dataframe? Thank you, Sir

[@ReuvenLerner]

The Pandas docs say that the argument to pd.cut must be 1-dimensional. So you would have to run pd.cut once for each column you want to translate. Glad the tutorial was helpful!

[@moxieable]

@@ReuvenLerner this is a tutorial sent from heaven. Thanks

[@raymondchougam2958]

pd.cut() and it's not supposed to be complicated

[@ReuvenLerner]

It's not supposed to be complicated, but many people don't know it exists, and then get flummoxed trying to use it.