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TywinASOIAF t1_jby3znl wrote

Python statmodels is bad. It cannot handle hour data for example. Use R if you do time series.

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Toilet_Assassin t1_jbz6bjm wrote

What do you mean when you say it can't handle hour data? I haven't ran into any issues with it as of yet.

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TywinASOIAF t1_jbzbm13 wrote

You have to make very weird code in Pandas to handle data on hour intervals (15:00, 16:00, 17:00 etc) with statmodels. In R this is no issue. Convert to tsibble and you are good to go.

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Toilet_Assassin t1_jc0gn35 wrote

In the end the observations you feed to the model will boil down to a sequentially indexed array, so it isn't too much effort to map indices to hour intervals with a time column. You will have to extend the time column to match the forecasted indices though, but that isn't too much effort at the end of the day.

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