Parallel Computation - Pandas 'apply' method

preview_player
Показать описание
About : Parallel Computation - Pandas apply() method

Рекомендации по теме
Комментарии
Автор

In R, when I parallelize using mclapply(), which is similar to this, I can either specify to precompute or not. This means, either I can assign rows to the threads up front or I can give one row to each thread and keep handing them out any time a thread finishes. These ppandas options all seem to be precompute-style, right? Is there a similar appproach that is more appropriate for cases where there are fewer rows and they take wildly different amounts of time per row?

bendirval