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 exercicio faz parte do curso
Scaling and Optimizing Data Pipelines with Polars
Instruções do exercicio
- Take only the first 5 rows of the
libraryLazyFrame. - Trigger execution and assign the resulting DataFrame to
result.
exercicio interativo prático
Tente este exercicio completando este código de exemplo.
# Preview the first 5 rows lazily, then execute
result = library.____(5).____()
print(result)