Extracting the hour component
With the datetime properly parsed, you want to identify when bike demand peaks during the day. To compare rentals across different hours, you need to extract the hour component from each timestamp.
polars is loaded as pl. The DataFrame bikes is available with the time column already parsed as a Datetime.
Deze oefening maakt deel uit van de cursus
Data Transformation with Polars
Oefeninstructies
- Extract the hour from the
timecolumn and name the new columnhour.
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
# Extract the hour from the time column
bikes.with_columns(
pl.col("time").____.____().____("hour")
)