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 exercicio faz parte do curso
Data Transformation with Polars
Instruções do exercicio
- Add a column
rolling_totalwith the 3-hour rolling sum ofrentals.
exercicio interativo prático
Tente este exercicio completando este código de exemplo.
# Add a 3-hour rolling sum of rentals
bikes.with_columns(
pl.col("rentals").____(window_size=____).alias("____")
)