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.
Questo esercizio fa parte del corso
Scaling and Optimizing Data Pipelines with Polars
Istruzioni dell'esercizio
- Take only the first 5 rows of the
libraryLazyFrame. - Trigger execution and assign the resulting DataFrame to
result.
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
# Preview the first 5 rows lazily, then execute
result = library.____(5).____()
print(result)