Python Pandas Tutorial (Part 4): Filtering - Using Conditionals to Filter Rows and Columns

In this video, we will be learning how to filter our Pandas dataframes using conditionals.

In this Python Programming video, we will be learning how to write conditionals in or to filter our data within our Pandas dataframes. This is a fundamental skill to have when using Pandas because it is one of the first things most people do when starting a new Pandas project. Let's get started...

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[darshantawte]

Even in 2024 this is still the best tutorial out there for pandas. With AI becoming capable of performing EDA and data analysis (atleast elementary which is still better than many newbie analysts), i wonder how pandas will keep up with it.

[qualjyn]

Nothing like waking up a Saturday morning, and catching up on Coreys Python Pandas tutorial over a good cup of coffee :) @Corey, keep up the good work - it is really appreciated!

[cordularaecke]

This is the best explanation of pandas dataframe boolean filtering I've ever seen - especially the inverse filter using the tilde - excellent - this is SO useful. Thank you

[tolulopeadedoyinadedoyin]

Corey is the best tutor, I have seen so far....He explains with ease and simplicity....More grace

[parols]

I guess 'flawless' is the only appropriate adjective for this whole series you are doing. Congrats from Italy Corey, keep it real!

[mintymintfresh]

There is no better teacher on python than corey... He is simply the best one... I got to learn flask .. All thanks to corey.. There are thousands of students whom u are making a better programmer every day ...

[ashylarry]

I let your ads play all the way thru. Fives minutes in exchange for what you’re giving...light work. Keep it up brotha!

[motlatsimoea]

Of all the teachers I have come across on Youtube, you are my favorite. The way you explain. The example exercises you use are simple enough to comprehend while also making me feel like I could handle bigger problems.

I learned Django from you as well. Thank you for all your work!

[Shailswap]

I have referred to three video tutorials/courses before this and this is by far the best course on pandas with complete coverage.
You deserve a million likes for this series. This course is priceless.

[shanplays]

Great series. I would recommend going through these tutorials once with the given dataset, and then going through it again using a dataset you're interested in. Dw, it will go alot faster the 2nd time around, and you'll get great practice actually finding insights you care about.

[akiratoriyama]

Like THE BEST pandas tutorial on internet. Thanks again Corey!!

[edilgin]

i started learning python basics with you and i just cant believe how much i improved myself this year, thanks a lot!

[chrissteele]

You have a way of making any topic seem sooo simple... You're an incredible teacher! I owe most of my python skills to you btw ─ thanks :)
Please keep the videos coming!

[clexyk]

Corey, your tutorials of Python are the best stuff I have ever seen. The ones on Pandas is again of very high quality.

[larz]

The often imitated, never duplicated, Corey Schafer. You're truly the python guide GOAT and us noobs bow before you. Thank you so much for this series and all your work.

[JoshuaDHarvey]

19:22 let us know when you do a video on strings! Can't wait for that and if you need any suggestions on any of the methods in the pandas .../text.html let us know! Thanks for all your hard work Corey!

[akintonaolawalesamuel]

Lucid. Concise. Thanks a bunch, Corey, for all you do to make us Pythonistas

[MrGokTR]

Thanks for sharing such an amazing series. You are basically representing the Zen of Python in person!

[pierreroux-lafargue]

You're a good man Corey Schafer, thanks for the quality content.

[josephsteen]

As per your request: I would like to see you upload a video about truth tables. I like the way you explain things, Corey. Your Panda series is helping a lot. So thanks for what you do!