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

[Mark Wiebe]

On Thu, Jun 23, 2011 at 6:33 PM, Charles R Harris <charlesr.harris at gmail.com
> wrote:

>
>
> On Thu, Jun 23, 2011 at 5:14 PM, Mark Wiebe <mwwiebe at gmail.com> wrote:
>
>> On Thu, Jun 23, 2011 at 6:02 PM, Charles R Harris <
>> charlesr.harris at gmail.com> wrote:
>>
>>> On Thu, Jun 23, 2011 at 4:43 PM, Mark Wiebe <mwwiebe at gmail.com> wrote:
>>>
>>>> On Thu, Jun 23, 2011 at 5:24 PM, Pierre GM <pgmdevlist at gmail.com>wrote:
>>>>
>>>>>
>>>>> On Jun 23, 2011, at 11:55 PM, Mark Wiebe wrote:
>>>>>
>>>>> > On Thu, Jun 23, 2011 at 4:46 PM, Charles R Harris <
>>>>> charlesr.harris at gmail.com> wrote:
>>>>> > On Thu, Jun 23, 2011 at 2:53 PM, Mark Wiebe <mwwiebe at gmail.com>
>>>>> 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.
>>>
>>
>> A lot of these things were discussed at the DataArray summit they held
>> here a while ago, but the general push is towards being more approachable
>> and friendly to people who use R or do statistical data analysis on possibly
>> messy data. I don't use R, but I think I'm fairly good at producing things
>> which are both powerful and intuitive in the end, which is what I'm trying
>> to do here. That's my understanding of the thinking, others at Enthought
>> will have to correct me if I'm wrong...
>>
>>
> One thing that wasn't clear to me in the NEP was how one might experiment
> with different masks on a fixed set of data.
>

You could create multiple views of the same array, then add a different mask
to each one.

-Mark


>
> Chuck
>
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