[Numpy-discussion] NA masks in the next numpy release?

Charles R Harris charlesr.harris@gmail....
Mon Oct 24 09:40:40 CDT 2011


On Sun, Oct 23, 2011 at 11:23 PM, Wes McKinney <wesmckinn@gmail.com> wrote:

> On Sun, Oct 23, 2011 at 8:07 PM, Eric Firing <efiring@hawaii.edu> wrote:
> > On 10/23/2011 12:34 PM, Nathaniel Smith wrote:
> >
> >> like. And in this case I do think we can come up with an API that will
> >> make everyone happy, but that Mark's current API probably can't be
> >> incrementally evolved to become that API.)
> >>
> >
> > No one could object to coming up with an API that makes everyone happy,
> > provided that it actually gets coded up, tested, and is found to be fast
> > and maintainable.  When you say the API probably can't be evolved, do
> > you mean that the underlying implementation also has to be redone?  And
> > if so, who will do it, and when?
> >
> > Eric
> > _______________________________________________
> > NumPy-Discussion mailing list
> > NumPy-Discussion@scipy.org
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >
>
> I personally am a bit apprehensive as I am worried about the masked
> array abstraction "leaking" through to users of pandas, something
> which I simply will not accept (why I decided against using numpy.ma
> early on, that + performance problems). Basically if having an
> understanding of masked arrays is a prerequisite for using pandas, the
> whole thing is DOA to me as it undermines the usability arguments I've
> been making about switching to Python (from R) for data analysis and
> statistical computing.
>

The missing data functionality looks far more like R than numpy.ma.

Chuck
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