On Sat, Nov 5, 2011 at 3:22 PM, T J <tjhn...@gmail.com> wrote: > So what do people expect out of ignored values? It seems that we might need > to extend the list you put forward so that it includes these desires. Since > my primary use is with MISSING and not so much IGNORED, I'm not in a very > good position to help extend that list. I'd be curious to know if this > present suggestion would work with how matplotlib uses masked arrays.
I'm in a similar position -- I don't have any use cases for IGNORED myself right now, so I'm just trying to guess from what I've seen people say. Just having where= around makes it at least possible, if cumbersome, to handle one of the big problems -- working with subsets of large datasets without having to make a copy. It's possible we should leave IGNORED support alone until people have more experience with where=, and can say what kind of convenience features would be useful. Or maybe we can get some experts to speak up... perhaps this will help: http://thread.gmane.org/gmane.comp.python.matplotlib.devel/10740 -- Nathaniel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion