On Wed, Jun 29, 2011 at 11:20 AM, Lluís <xscr...@gmx.net> wrote: > I completely agree. What I'd suggest is a global and/or per-object > "ndarray.flags.skipna" for people like me that just want to ignore these > entries without caring about setting it on each operaion (or the other > way around, depends on the default behaviour).
I agree with with Matthew that this approach would end up having horrible side-effects, but I can see why you'd want some way to accomplish this... I suggested another approach to handling both NA-style and mask-style missing data by making them totally separate features. It's buried at the bottom of this over-long message (you can search for "my proposal"): http://mail.scipy.org/pipermail/numpy-discussion/2011-June/057251.html I know that the part 1 of that proposal would satisfy my needs, but I don't know as much about your use case, so I'm curious. Would that proposal (in particular, part 2, the classic masked-array part) work for you? -- Nathaniel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
