Technical requirements

You can download the datasets and code in the GitHub repository:

• Data: https://github.com/PacktPublishing/Polars-Cookbook/tree/main/data
• Code: https://github.com/PacktPublishing/Polars-Cookbook/tree/main/Chapter07

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

>>> pip install polars

It is also assumed that you have imported it into your code:

import polars as pl

We’ll be using the Trending YouTube Video Statistics dataset (https://github.com/PacktPublishing/Polars-Cookbook/blob/main/data/us_videos.csv) throughout this chapter. Read the data before proceeding to the next steps:

df = pl.read_csv('../data/us_videos.csv', try_parse_dates=True)

Also, look at what the data looks like in the dataset:

df.glimpse(max_items_per_column=2)

The preceding code will produce the following output:

Figure 7.1 – An overview of the DataFrame

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