Previewing the data lazily

You've joined the Seattle city data analysis team. They track every Seattle Public Library checkout in a multi-million-row CSV, and the reporting team wants a quick peek at the data. Keep the query lazy until after head(5) so Polars only reads the rows you need.

polars is loaded as pl, and the LazyFrame library was built from the CSV file.

Diese Übung ist Teil des Kurses

<Kurs>Scaling and Optimizing Data Pipelines with Polars</Kurs>

Kurs ansehen

Übungsanweisungen

Take only the first 5 rows of the library LazyFrame.
Trigger execution and assign the resulting DataFrame to result.

Interaktive praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Preview the first 5 rows lazily, then execute
result = library.____(5).____()
print(result)

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