Pandas GroupBy Simplest Example - Python

One aspect that I’ve recently been exploring is the task of grouping large data frames by different variables, and applying summary functions on each group. This is accomplished in Pandas using the “groupby()” and “agg()” functions of Panda’s DataFrame objects.

In this video, I will try to present a simple example which demonstrates the power of GroupBy function of Pandas!

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

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[vinuvish]

Thanks, your video was my first video to learn about Pandas GroupBy. I will not look into another one. Thanks for the clear and detailed lesson.

[samyakkumarsahoo]

Crisp explanation. After watching the video my doubts were cleared .

[dayaramd]

i have gone through lot video's on groupby not uderstood properly, but you have cleared my doubts and i have able groupby my file based on country, thanks for teaching

[ROSEMARY-lsre]

Thankyou so much.This video help me to find a solution to my problem

[hemangvyas]

Really great explaination

Thank you

[kurubaraveeresh]

great explanation it avoids confusions..

[swapnildutta]

do we have a option to filter out only two columns and perform a groupby based on categories
per say students from science, commerce and arts, and their scores ?

[BHARATHEEYUDU.]

GOOD VEDIO
I have a doubt how to find nth highest salary groupwise in DataFrame please tell me

[cablemaster]

very good, Bhavesh, i want to know that how can we find that how many students got same marks

[jiteshmishra]

Pls help to understand data like life expectancy data set

[salimbo]

thanks man i actuallly spend 3h wondering why it didn't work for me because i passed the column name to the groupby fcnt
group = df.groupby('Column')

[rishavshikary]

I dont like your content So I will not subscribe your video.