Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns

In this video, we will be learning about the Pandas DataFrame and Series objects.

In this Python Programming video, we will be learning about the DataFrame and Series objects. These are the backbone of Pandas and are fundamental to the library. DataFrames can be thought of as rows and columns, while a Series can be thought of as just a single column of rows. We'll also learn the basic navigation of these datatypes by learning how to select specific rows and columns. Let's get started...

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[coreyms]

I hope everyone finds this helpful! I will be releasing the 3rd video of the series on Monday. The next video will be on indexes. Indexes are very useful once we get the hang of them, so be sure to check that out. I hope everyone has a great weekend!

I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription:

[aegystierone]

I keep the ads running because you earn it!

[xluyyjhfg]

8:23 - access a single column via string()
11:25 - dot notation
13:31 - access multiple COLUMNS- pass in a list() of the columns you want.
15:23 - list all the columns - df.columns
14:40 - access ROWS with loc and iloc -- loc is for labels, iloc is for integers.
20:49 - use two lists, one for the ROWS and another, second list, for COLUMNS to get a subset of the DataFrame.

[floriankoller]

i really like the way you present information...many others just squeeze everything into one unorganized video, but you really take your time to explain every step in plain understandable english so everyone can follow...i think many teachers can learn from your way of presenting!
I really want to thank you for creating such beautiful content!

[reetamchatterjee]

Hey Corey! I just wanna say "THANK YOU" cause your tutorials have helped in understanding python and learning important libraries!! Keep doing the good work!! You explain complex things so I love it. Thanks again for all your help!!

[sherifelgamal]

Thanks a lot for this series! This the most complete and easy to understand python tutorial i have seen. Great work!

[rhys]

Not only does he explains things well, I think he was trained/taught well because you can see that he does most things the most simple and efficient way most of the time. Really helps to understand the basics without a lot of noise around to confuse at the start. Best teacher I have come across in teaching Python.

[joshliao]

You literally made a series of videos covering my whole exam. So grateful to having these.

[sharmakartikeya]

Hands down the best dedicated pandas tutorial on YouTube for me. I like knowing most of the things before jumping in so this is like the Holy Grail for me for Pandas

[ammarkhawer]

Beautiful work youre doing there mate!! Did mention how i am enrolled in few courses for the understanding of data analysis, but as soon as i came across your tutorials i knew i that i wont be searching no more. Brilliant hands on approach to data analysis with pandas <3

[valerioharvey]

Thank you very much! This is the only course where i understand completely about how this library works.

[ZahidHasan-cctf]

Seriously!! This is one of its kind tutorials that I enjoy following and learning from. I actually wish that the video doesn't end. You don't teach us just basic stuff but gradually from beginning to advanced in such a subtle way that even a beginner like me can follow without any difficulty.

[ambarishkapil]

I am so glad you are uploading the pandas series so frequently. Thankyou very much and keep up the good work.

[rizwan]

You are the best teacher that i have ever seen. Even our uni professors failed to teach like you. hats off to you

[modernmistyk]

As an aside, this is probably one of the most interesting topics to make a video series on with python. I'm imagining all the unbelievable things we can learn using this increedible tool. Please keep this series running, I'd love to see you do some really interesting experiments with this data, or some interesting data period.

[kapilpoudel]

just know it bro you are legend for people like us !! i have seen lots of tutorials videos but no one is close you ...God bless you with everything !!

[orie]

The best channel for python in YouTube by far ... love your videos!

[cnsumption]

Been watching your videos for years man. Finally got my first Python job. Can’t thank you enough. Knocking out this series this week :)

[arslan]

Corey Schafer, you are the best and I've learnt Python from scratch just by following your lectures.
Thank you for the lectures.

[godswillikwan]

Thank you so much Corey Schafer, your teaching series are definitely going to help mould me into the developer I wanna become