How to Reshape Dataframes | Pivot, Stack, Melt and More

[@misraturp]

👉 All you need to know about Pandas in one place! Download my Pandas Cheat Sheet (free) misraturp.gumroad.com/l/pandascs

[@uptoolate1896]

Your pandas cheat sheet is WAY more understandable (to me, at least) than the official one in the pandas documentation. Thanks for making it!

[@misraturp]

That's great to hear!

[@GregThatcher]

Thanks!

[@misraturp]

Thank you Greg! Really appreciate your support!

[@jonortiz81]

For quite some time twitter hadn't recommended anything really interesting and valuable to watch. Nice video, I'm totally hooked to your content. 💪

[@misraturp]

That's amazing to hear, thank you John!

[@simple-stack-by-ed]

Straightforward explanation of pivot. Like earned!. Thx

[@jerrymarq3897]

Good stuff I was trying to figure how to do counts by group. And that is the cross tab.

[@tanishq6352]

great video thanks for making my doubts clear of explode function and crosstab

[@misraturp]

You're very welcome :)

[@automatewithamit]

Thanks for your Video ! Can you please let me know if we can put those collapse and expand functionality in actually generated pivot table in excel using python ??

[@kevon217]

Great overview!

[@misraturp]

Thanks!

[@ericliu3366]

Hi I like your videos. BTW, how you get the Juypter to have output horizontal scrollable. My Anaconda Juypter cannot.😊

[@aakashniture]

Hi Misra, amazing video. I have a doubt. I performed pivot_table() and after getting new columns.. I am not able to select those new columns or save one new column in new df. E.g. in above video after pivoting you got A, B, C as new columns.. i can not select df['A']? It gives error. When i do df.shape() it shows A, B, C as columns. Please help.

[@Hamza12123]

very useful , thank you ma'am

[@arpeshmistry6550]

Nice tutorial on pivot. I have one query, is there any way we can create the data-link in pivot like we do in excel. Pls help

[@Mamiyou727]

Great job, thanks for this sharing, you're giving energy too ;-)

[@misraturp]

Thank you! 😀

[@jianlinchen7978]

pandas looks a little bit complex than power query. ... So what is pandas's strength?

[@mjacfardk]

Thank you very much, for your valuable efforts, I don't know how to thank you, anyway thank you always. Please make us groupby tutorial and how to compare it with pivot tables 🙏

[@misraturp]

You are very welcome! The groupby video is on the way!

[@josep_pacheco]

Excelente contenido Misra, gracias : )

[@misraturp]

De nada!

[@akhilp6263]

very useful.Thank you

[@misraturp]

You're very welcome :)

[@pomme_paille]

I'm confused at the difference between stack and melt 😅

[@viniciusoviedo]

Awesome content...Thanks for sharing it! Which screen recorder do you use? I really like it. Best!

[@misraturp]

Thank you Vinícius! I use ScreenFlow.

[@JayLim-bn9fh]

Thanks I just subbed

[@sanooosai]

great tutorial, Eva mendes look like you

[@misraturp]

Haha thanks!

[@PeterPankowski]

Very nice

[@kepenge]

I’m in love

[@hedeyhod]

I think it's hard to understand for beginners. especially melt function. maybe you should slow down when you explain examples. thank you so much for tutorial.

[@misraturp]

You're welcome

[@bay-bicerdover]

hold the pace

[@johnspivack6520]

Thanks for the video. Brilliant person, but why talk so fast? I had to stop it about a twenty times and puzzle out what was being said. After I did, it made sense, but why not slow down to a more comfortable pace? By the way, 'SVCS' means 'Services', isn't it obvious from the context?

[@bay-bicerdover]

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