Filtering for a time range

Now that you can filter for a single moment, let's filter for a range. To understand the morning commute pattern, find all rows between 7 AM and 10 AM on the first day to analyze the morning rush.

polars is loaded as pl. The DataFrame bikes is available with the time column as a Datetime.

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Data Transformation with Polars

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Instrucciones del ejercicio

Filter bikes for rows where time is between 7 AM and 10 AM on July 1st, 2016.

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# Filter for morning rush hour (7 AM - 10 AM)
bikes.filter(
    pl.col("time").____(
        pl.datetime(2016, 7, 1, ____),
        pl.datetime(2016, 7, 1, ____)
    )
)

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