Flipping Data with Pandas: Stack & Unstack

[@saurabhchoudhary4572]

very nice, exact attention this topic needs 10/10

[@ReuvenLerner]

Glad it helped!

[@lindyhopwithliz]

You’re great! Lots of vids out there about how to do stuff. Not many about why / in what situations you do the stuff. Thank you!!!

[@ReuvenLerner]

I'm delighted to hear you found it helpful!

[@hugoguay4993]

Thank you so much it greatly help for me and my study of Data science

[@ReuvenLerner]

I'm delighted to hear it!

[@harshitbhatia5305]

very nice and infomative. Now I m prepared for my exam :)

[@ReuvenLerner]

Ha! Good luck!

[@PrateekTrivedi6]

Thanks for such amazing videos. You making learning simple by explaining the functionality and the practical use-cases where the value for that functionality lies. I have a doubt - @6:02 - Shouldn't level be 0 when we are unstacking on the basis of passenger count as this is only row label present ?

[@ReuvenLerner]

Thanks for the kind words! Notice that in many (not all) of the cases in this video, I'm not actually modifying our data frame g. Rather, I'm running a method (e.g., unstack), and getting back a new data frame. This leaves g unchanged, which means that if I first run g.unstack(level=1) and then run g.unstack(level=0), I'm unstacking on the same data frame each time. It's not that after unstacking on level=1 we're left with only one level in the multi-index. Does that make sense?

[@PrateekTrivedi6]

@@ReuvenLerner Yeah I got it now :) that was super quick response, thanks!!

[@bojanmilinic]

Huge thanks

[@elu1]

Nice one! Thanks for the teaching👋

[@ReuvenLerner]

My pleasure; glad you enjoyed it!

[@Lnd2345]

Super clear, thanks

[@ReuvenLerner]

Great !

[@SanjeevKumar-dr6qj]

Please make more videos

[@ReuvenLerner]

More of them coming soon!