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.
Este ejercicio forma parte del curso
Scaling and Optimizing Data Pipelines with Polars
Instrucciones del ejercicio
- Take only the first 5 rows of the
libraryLazyFrame. - Trigger execution and assign the resulting DataFrame to
result.
ejercicio interactivo práctico
Prueba este ejercicio completando este código de ejemplo.
# Preview the first 5 rows lazily, then execute
result = library.____(5).____()
print(result)