On Thu, Jun 23, 2011 at 4:43 PM, Mark Wiebe <[email protected]> wrote:
> On Thu, Jun 23, 2011 at 5:24 PM, Pierre GM <[email protected]> wrote: > >> >> On Jun 23, 2011, at 11:55 PM, Mark Wiebe wrote: >> >> > On Thu, Jun 23, 2011 at 4:46 PM, Charles R Harris < >> [email protected]> wrote: >> > On Thu, Jun 23, 2011 at 2:53 PM, Mark Wiebe <[email protected]> wrote: >> > Enthought has asked me to look into the "missing data" problem and how >> NumPy could treat it better. I've considered the different ideas of adding >> dtype variants with a special signal value and masked arrays, and concluded >> that adding masks to the core ndarray appears is the best way to deal with >> the problem in general. >> > >> > I've written a NEP that proposes a particular design, viewable here: >> > >> > >> https://github.com/m-paradox/numpy/blob/cmaskedarray/doc/neps/c-masked-array.rst >> >> Mmh, after timeseries, now masked arrays... Mark, I start to see a pattern >> here ;) > > > I think it speaks to what's on Enthought's mind, in any case. :) > What is the thinking at Enthought about this? I sense a meeting in the background and it would be nice to know what the motivations were. <snip> Chuck
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