How do I handle missing values in pandas?

Most datasets contain "missing values", meaning that the data is incomplete. Deciding how to handle missing values can be challenging! In this video, I'll cover all of the basics: how missing values are represented in pandas, how to locate them, and options for how to drop them or fill them in.

SUBSCRIBE to learn data science with Python:

JOIN the "Data School Insiders" community and receive exclusive rewards:

== RESOURCES ==

== LET'S CONNECT! ==

I like his way of teaching, he doesn't assume that the audience knows by default. He breaks down the explanation piece by piece, it is a great learning experience, concise and clear stated lectures as always! Thanks!

[codesandroads]

I never leave this place unsatisfied or without answers, total treasure.

[nasserabachi]

Now i am in love with Pandas just by seeing a couple of your videos, Shukran Jazeelan !

[BAIBHAVPATHYBEE]

6 years has gone released this video and i m watching it now and it still made me fall in love with the series ... beautifully explained every concept in detail.

[luqikong]

The most amazing python tutorial I've watched so far. Fell in love with python.

[kuldipchauhan]

Awesome- you are gifted.... -- your explanation and content are clean and effective.

[rahuldeepdraws]

This is actually the most clearly explained video on DataFrames that I have ever come across. Glad I found you. Thank you so much.

[astroinceptor]

You saved my life twice today, your videos are great and the way you explain is really good. Thank you!

[kiranachanta]

I have been watching Kevin Videos, needless to say he is an Awesome Instructor. His explanation in all of his videos is Conceptual, In-depth and breaking down any complex topic into the easiest way.
Thanks Kevin for your great Work!!!
It would be great if you could make videos on visualization using Matplotlib & Seaborn.

[indreshkumar]

u are superb.i took a paid course but they were not able to make me explain these things as u explained me in such a easy way.thnx a lot.

[gabrielreilly]

Great videos covering the basics. I enjoy how the additional values within the functions are covered, i.e. axis, etc.

[saachishivhare]

I am really loving your videos. Explored your channel just 2 days back!! Earlier I had no idea about pandas but after watching your video, I feel that I will be able to work on my assignment. Great Work! Thank you!

[stevechops]

I cannot tell you how much you have helped me, with all sorts of problems! You have the clearest way of explaining things, thank you so much!

[FULLCOUNSEL]

You are doing an excellent job. You are called to do this for sure. Cheers

[sammy]

Good video. Learnt a lot in short and crisp way

[TrevorHigbee]

Great videos. I love how all the CSVs are available online.

[-MinhazulFerdous]

you are a life saver i was fucked up with errors for only 2 missing values in a row of 1000 data

[grumpyae]

Exceptional would be a single word to describe your tutorial. Looking forward to binging on your videos lol. Thank you for such clear explanation.

[Person_Not_Known]

Thanks for your videos. most of the python online course i took... i just couldn't get into. Something about your cadence, data sets, and or approach just clicks with me. Thanks for the content.

[sapnasinha]

Fantastic explanation, however at the end would be good to mention that there are more ways to fill with value_counts, eg. With the mean of all other values etc and not just merging null column with any other column. Cheers!