Even though it's long, it undersells the problem, because many of these methods have nontrivial overload semantics that open up like a fractal when you look in turn at their docs. The link also undersells the problem because this junkheap is evidently so incomplete that people are frequently forced to rely on numpy to extend it.
APIs should make hard things easy, but API gloveboxes like this make easy things hard. Minimal API + Performant Glue >> We do everything for you + You can't ever touch your own data or your perf dies + Good luck reverse engineering these semantics if you've forgotten the context and need to port it.
Okay, I think I see your point. The different object methods you are seeing as API calls, and because they are granular and have capacity to do many common and uncommon tasks this is viewed as bloat. Makes sense from that perspective. Thanks.
https://pandas.pydata.org/pandas-docs/stable/reference/serie...
Even though it's long, it undersells the problem, because many of these methods have nontrivial overload semantics that open up like a fractal when you look in turn at their docs. The link also undersells the problem because this junkheap is evidently so incomplete that people are frequently forced to rely on numpy to extend it.
APIs should make hard things easy, but API gloveboxes like this make easy things hard. Minimal API + Performant Glue >> We do everything for you + You can't ever touch your own data or your perf dies + Good luck reverse engineering these semantics if you've forgotten the context and need to port it.