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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.

Cet exercice fait partie du cours

<cours>Data Transformation with Polars</cours>
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Instructions de l’exercice

  • Extract the hour from the time column and name the new column hour.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

# Extract the hour from the time column
bikes.with_columns(
    pl.col("time").____.____().____("hour")
)
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