Filtering for a time range
Now that you can filter for a single moment, let's filter for a range. To understand the morning commute pattern, find all rows between 7 AM and 10 AM on the first day to analyze the morning rush.
polars is loaded as pl. The DataFrame bikes is available with the time column as a Datetime.
Questo esercizio fa parte del corso
Data Transformation with Polars
Istruzioni dell'esercizio
- Filter
bikesfor rows wheretimeis between 7 AM and 10 AM on July 1st, 2016.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Filter for morning rush hour (7 AM - 10 AM)
bikes.filter(
pl.col("time").____(
pl.datetime(2016, 7, 1, ____),
pl.datetime(2016, 7, 1, ____)
)
)