Splitting strings into lists and structs
Understanding how to split strings into lists and structs is indispensable in data projects due to the pivotal role that splitting strings plays in data processing and feature engineering. Raw data often arrives in unstructured formats. The ability to split strings enables the extraction of meaningful information, facilitating data cleaning and transformation, particularly in data engineering and wrangling tasks.
List and struct data types will be the output when you split strings. We’ll cover how to work with those data types, including the operations we can do on them, in Chapter 7, Working with Nested Data Structures.
In this recipe, we’ll look at how we can split strings into lists and structs in Python Polars using the .str.split(), .str.splitn(), and .str.split_exact() methods.
Getting ready
We’ll be using the Google Store review dataset we’ve been using throughout this chapter. Read in the dataset...
