Technical requirements

You can download the datasets and code from the GitHub repository as follows:

• Data: https://github.com/PacktPublishing/Polars-Cookbook/tree/main/data
• Code: https://github.com/PacktPublishing/Polars-Cookbook/tree/main/Chapter09

It is assumed that you have installed the Polars library in your Python environment:

>>> pip install polars

And that you have imported it into your code:

import polars as pl

We’ll also be using the Polars built-in visualization feature in this chapter. Make sure to import the hvplot library in the command line:

>>> pip install hvplot

We’ll be using the historical hourly weather dataset throughout this chapter. The dataset contains weather data in Toronto such as temperature and humidity. You can find it at this URL in our GitHub repo: https://github.com/PacktPublishing/Polars-Cookbook/blob/main/data/toronto_weather.csv.

We’ll use a LazyFrame instead of a DataFrame...