On Thu, Apr 28, 2011 at 12:24 AM, Guido van Rossum <gu...@python.org> wrote: > So do new masks get created when the outcome of an elementwise > operation is a NaN? Because that's the only reason why one should have > NaNs in one's data in the first place.
If this is the case, why Python almost never produces NaNs as IEEE standard prescribes? >>> 0.0/0.0 Traceback (most recent call last): File "<stdin>", line 1, in <module> ZeroDivisionError: float division > -- not to indicate missing values! Sometimes you don't have a choice. For example when you data comes from a database that uses NaNs for missing values. _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
