Yes. Like Pandas does! Like I wrote! And yes, it is one of three plausible good behaviors that Steven described well. Which is kinda why is still like a named parameter like 'on_nan' to choose which behavior you want inside the function.
Unfortunately, propogating/poisoning NaN like NumPy does cannot really be done with a comprehension, so doing it in the function makes sense. Similar with raising an exception. On Thu, Dec 26, 2019, 9:35 PM Marco Sulla via Python-ideas < python-ideas@python.org> wrote: > David Mertz wrote: > > So we could get the Pandas-style behavior simply by calling median like > so: > > statistics.median(x for x in it if not math.isnan(x)) > > This is wrong. Or maybe potentially wrong. > > This way you're removing items from the iterable, so you're moving the > median. > > If the NaNs are not really member of your population, it's ok. > > On the contrary, if you use my median function with the key function I > posted before, you have not this problem. The iterable is sorted well and > you get the real median. > _______________________________________________ > Python-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/7WU5GQ7IIXAHT42KYKGRVC5X24QTM5QY/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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