Filtering Data - Pandas | Python ~ Episode 3

Hey Coders! After learning how to access and isolate the data in your pandas dataframe the 2nd most important operation is learning how to filter for the exact data that you want. For instance, let's say you had data on human heights across various ages. While examining your data, you may want to find the average height for just males, or just females, or maybe you want to find the ratio of males to females for those subjects whose height is greater than a certain value. All of these specifications are filters, and applying these filters to your dataframe is simple in pandas. In this video, we'll see the basic procedures and methods you can use for the vast majority of all filtering use cases.

Check out the source code on GitHub:

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🕒 Timestamps
0:00 Intro
1:10 Importing pandas and displaying the data
2:28 The basic structure of a filter
5:37 Passing a filter into loc provides more functionality
8:26 Common filter operators (==, &, |, ~)
12:05 isin()
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