8 - Pandas' Groupby and pd.Grouper explained | Comprehensive Pandas Tutorial for Beginners

In this tutorial, we'll look at how powerful and useful pandas' Groupby is at data analysis. We'll look at the three step procedure of Split - Apply - Combine that groupby follows, and how to make meaningful use and elucidate our data analytics work.
We'll also have a look at pd.Grouper, and how useful it can be for handling time series data, apart from the normal data that it can also effortlessly work with.
Here is the official pandas' documentation link for the list of valid frequencies that you can pass to pd.Grouper:
pandas.pydata....
You can check out my github page to find all the relevant Jupyter Notebooks, datasets and other materials that I've used in this video!
Link:
github.com/rac...
Don't forget to subscribe and hit the bell icon to be regularly notified when we add new content!
Thanks!

[@christopherreif3624]

Very well explained, I honestly appreciate you going over the broader concept first ensuring we understand it then going into the code.

[@rachittoshniwal]

Thanks Christopher! :)

[@osoriomatucurane9511]

Namaste, Awesome, Sir. I must addmit the best tutorial by far in pandas groupby I have ever accross. Keep it up

[@kennethstephani692]

Terrific video!!!

[@VR-fh4im]

I like the way you teach and above all the greetings "Namaste" is best love for India. Well done.

[@kausinsayed8736]

Amazingggggg!!!

[@vadimrudakov8907]

Thank you very much! Everything is clear explained. Thank you for for the `diff` method, I used `shift` method for the same task, but it is much shorter (`df - df.shift(1)`)

[@paulaleksis1513]

wow you are really amazing at explaining things I love your template

[@run4lifebrasil]

thank you very much for the content, congrats on the excelent didactic!

[@abrilortizdepaux228]

thank you very much, you saved my assignment for my python class!

[@rachittoshniwal]

Happy to help! :D

[@KS-tf3ri]

Great explanation! Thank you!

[@rachittoshniwal]

Thanks, I'm glad it helped!

[@ramendrachaudhary9784]

Very well explained. Keep it up!

[@rachittoshniwal]

Glad it was helpful! :)

[@atiaspire]

Very nice

[@rachittoshniwal]

Thanks!

[@abhiadynt3795]

excellet work bro tq very much

[@rachittoshniwal]

Thanks! I'm glad it helped!

[@jonahjohnbaba]

I am wondering why you stopped python-pandas tutorials. There is so much to learn from you. Please can you do a tutorial on cleaning data "solving realtime challenges and then going to data visualization. Thank you.

[@rachittoshniwal]

Noted! I didn't stop with pandas tutorials really... I just happened to start with Machine Learning ones and kept going with it :p