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.
Este ejercicio forma parte del curso
Data Transformation with Polars
Instrucciones del ejercicio
- Add a column
rolling_totalwith the 3-hour rolling sum ofrentals.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Add a 3-hour rolling sum of rentals
bikes.with_columns(
pl.col("rentals").____(window_size=____).alias("____")
)