[Numpy-discussion] feedback request: proposal to add masks to the core ndarray

Charles R Harris charlesr.harris@gmail....
Sat Jun 25 10:05:46 CDT 2011


On Sat, Jun 25, 2011 at 8:52 AM, Matthew Brett <matthew.brett@gmail.com>wrote:

> Hi,
>
> On Sat, Jun 25, 2011 at 3:46 PM, Charles R Harris
> <charlesr.harris@gmail.com> wrote:
> >
> >
> > On Sat, Jun 25, 2011 at 8:31 AM, Matthew Brett <matthew.brett@gmail.com>
> > wrote:
> >>
> >> Hi,
> >>
> >> On Sat, Jun 25, 2011 at 3:21 PM, Charles R Harris
> >> <charlesr.harris@gmail.com> wrote:
> >> >
> >> >
> >> > On Sat, Jun 25, 2011 at 5:29 AM, Pierre GM <pgmdevlist@gmail.com>
> wrote:
> >> >>
> >> >> This thread is getting quite long, innit ?
> >> >> And I think it's getting a tad confusing, because we're mixing two
> >> >> different concepts: missing values and masks.
> >> >> There should be support for missing values in numpy.core, I think we
> >> >> all
> >> >> agree on that.
> >> >> * What's been suggested of adding new dtypes (nafloat, naint) is
> great,
> >> >> by
> >> >> why not making it the default, then ?
> >> >>
> >> >> * Operations involving a NA (whatever the NA actually is, depending
> on
> >> >> the
> >> >> dtype of the input) should result in a NA (whatever the NA defined by
> >> >> the
> >> >> outputs dtype). That could be done by overloading the existing ufuncs
> >> >> to
> >> >> support the new dtypes.
> >> >> * There should be some simple methods to retrieve the location of
> those
> >> >> NAs in an array. Whether we just output the indices or a full boolean
> >> >> array
> >> >> (w/ True for a NA, False for a non-NA or vice-versa) needs to be
> >> >> decided.
> >> >> * We can always re-implement masked arrays to use these NAs in a way
> >> >> which
> >> >> would be consistent with numpy.ma (so as not to confuse existing
> users
> >> >> of
> >> >> numpy.ma): a mask would be a boolean array with the same shape than
> the
> >> >> underlying ndarray, with True for NA.
> >> >> Mark, I'd suggest you modify your proposal, making it clearer that
> it's
> >> >> not to add all of numpy.ma functionalities in the core, but just
> >> >> support
> >> >> these missing values. Using the term 'mask' should be avoided as much
> >> >> as
> >> >> possible, use a 'missing data' or whatever.
> >> >
> >> > I think he aims to support both.
> >>
> >> I don't think Mark is proposing to support both.  He's proposing to
> >> implement only array.mask.
> >>
> >
> > I think you are confusing function with implementation. If you look at
> the
> > current NEP, it does NA but does so by using masks behind the scene in a
> > transparent manner.
>
> Yes, there is some confusion; just to be clear, I'm pointing out that
> Mark is not proposing to implement na-dtypes, and is proposing to
> implement array.mask.
>
>
I would say he is proposing to implement na-dtypes by means of masks.

Chuck
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