Join us and get access to hundreds of tutorials and a community of expert Pythonistas.

Unlock This Lesson

This lesson is for members only. Join us and get access to hundreds of tutorials and a community of expert Pythonistas.

Unlock This Lesson

Hint: You can adjust the default video playback speed in your account settings.
Hint: You can set the default subtitles language in your account settings.
Sorry! Looks like there’s an issue with video playback 🙁 This might be due to a temporary outage or because of a configuration issue with your browser. Please see our video player troubleshooting guide to resolve the issue.

The filter() Function: Overview

Give Feedback

In this section, you’ll learn the basics of functional programming in Python and how to use the filter() function to transform data structures.

You’ll take the example data set represented with an immutable data structure from the previous section. Then you’ll create a filtered down version of the same data using Python’s built-in filter() function, which is one of the functional programming primitives (or building blocks) available in Python. It’s useful in a number of contexts.

Later in this section, you’ll also see how filter() relates to list comprehensions and generator expressions in Python, and how using these is arguably more Pythonic than relying on plain filter() calls.

Jacques Clement on March 26, 2020

Would a set of named tuples have not been more appropriate than a tuple of named tuples in this example? You don’t wanna see duplicates in a data structure like this one, so is set not what would enforce this? Thanks in advance.

Dan Bader RP Team on March 26, 2020

Good question, Jacques! Since the input data was an ordered table of rows (see lesson #1) I went with a pretty direct translation using a tuple as the top-level data structure.

But a set of named tuples should work just as well, depending on the Python version a set would also retain the order of elements.

kemboirodgers00 on April 27, 2020

Dan really helpful thank you

Become a Member to join the conversation.