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  3. Data Transformation with Polars
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Rolling aggregations on multiple columns

What if you need rolling statistics on multiple columns at once? The .rolling() method lets you compute aggregations over a time-based window for several columns simultaneously.

polars is loaded as pl. The DataFrame bikes is available with columns time, rentals, and temp.

Hướng dẫn

100 XP
  • Set up the 3-hour rolling window on the time column.
  • Calculate the sum of rentals and the mean of temp in the aggregation.