In a previous blog post, we covered list comprehensions to generate a dataset. In this post, I'll be covering how to simplify traversing a dataset to pull specific data using list comprehensions.
Let's start with a nested list of objects like this:
Say you only want to pull the relevant songs that are by 'Artist 2'. The long form way to do this would be:
But there's a simpler way, only using one line and list comprehensions:
Now let's say you only want to return one parameter, rather than the whole object, just add a get and it'll return an array of those params:
Now let's say you want to prepend a string onto each returned title, you can add a function to do that as well and include it in the list comprehension:
Hopefully this helps simplify your data traversing. For more information, here's the official Python page on list compehensions: https://docs.python.org/2/tutorial/datastructures.html#list-comprehensions
- Snake_Byte #37: Traversing Data with List Comprehensions - September 21, 2017
- Snake_Byte #26: Python for Javascript Developers (If/Else) - March 31, 2017