Calculating the hourly total with window functions
Continuing with the London bike-sharing data, you want to spot unusual demand patterns like events or disruptions. To do this, compare each hour's rentals to its typical total across all days. Window functions let you add group statistics while keeping every row intact.
polars is loaded as pl. The DataFrame bikes is available with columns time, rentals, temp, and hour.
Latihan ini adalah bagian dari kursus
Data Transformation with Polars
Petunjuk latihan
- Calculate the sum of
rentalsgrouped byhourand name the columnhourly_total.
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# Add the hourly total using a window function
bikes.with_columns(
pl.col("rentals").____().over("____").alias("____")
)