(Fixing quote and attribution.) On Fri, Jul 6, 2018, 11:32 Chris Barker - NOAA Federal via Python-ideas <python-ideas@python.org> wrote: > > On Jul 6, 2018, at 2:10 AM, Steven D'Aprano <st...@pearwood.info> wrote: > > > On Fri, Jul 06, 2018 at 09:49:37AM +0100, Cammil Taank wrote: > > > I would consider statistics > > > > to have similarities - median, mean etc are aggregate functions. > > > Not really, more like reduce, actually -/ you get a single result. > > > > Histograms are also doing something similar to grouping. > > > .(Yes, a few statistics apply to nominal and ordinal data too, > > > And for that, a generic grouping function could be used. > > In fact, allowing Counter to be used as the accumulater was one suggestion in > this thread, and would build s histogram. > > Now that I think about it, you could write a key function that built a > histogram for continuous data as well. > > Though that might be a bit klunky. > > But if someone thinks that’s a good idea, a PR for an example would be > accepted: > > https://github.com/PythonCHB/grouper
+1 for `collections`, because it's where you look for something similar to Counter. -1 for `statistics`, because the need isn't specific to statistics. It'd be like putting `commonprefix`, which is a general string operation, into `os.path`. It's hacky to import a domain-specific module to use one of its non-domain-specific helpers for a different domain. Someone can argue for functools, as that's the functional programming module, containing `reduce`. _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
