Calculating a rolling sum
Continuing with the London bike-sharing data, hourly rental counts can jump dramatically from one hour to the next, making it hard to spot trends. Rolling statistics smooth out this noise by summing over a window of consecutive rows.
polars is loaded as pl. The DataFrame bikes is available with columns time, rentals, and temp.
Diese Übung ist Teil des Kurses
Data Transformation with Polars
Anleitung zur Übung
- Add a column
rolling_totalwith the 3-hour rolling sum ofrentals.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Add a 3-hour rolling sum of rentals
bikes.with_columns(
pl.col("rentals").____(window_size=____).alias("____")
)