On Sun, 10 Jun 2018 21:28:02 +0200, Anders Munch wrote: > Richard Damon wrote: > >> The two behaviors that I have heard suggested are: >> >> 1) If any of the inputs are a NaN, the median should be a NaN. >> (Propagating the NaN as indicator of a numeric error) >> >> 2) Remove the NaNs from the input set and process what is left. If >> nothing, then return a NaN (treating NaN as a 'No Data' placeholder). > > 3) Raise an exception. > > I can't believe anyone even suggested 2). "In the face of ambiguity, > refuse the temptation to guess."
It is not a guess if the user explicitly specifies that as the behaviour. It would be no more of a guess than if the user called data = [x for x in data if not math.isnan(x)] on their data first. -- Steven D'Aprano "Ever since I learned about confirmation bias, I've been seeing it everywhere." -- Jon Ronson -- https://mail.python.org/mailman/listinfo/python-list
