[Numpy-discussion] use for missing (ignored) data?
Wed Mar 7 14:21:49 CST 2012
Charles R Harris wrote:
> On Wed, Mar 7, 2012 at 1:05 PM, Neal Becker <email@example.com> wrote:
>> I'm wondering what is the use for the ignored data feature?
>> I can use:
>> A[valid_A_indexes] = whatever
>> to process only the 'non-ignored' portions of A. So at least some simple
>> of ignored data are already supported without introducing a new type.
>> w = A[valid_A_indexes]
>> will copy A's data, and subsequent use of
>> w[:] = something
>> will not update A.
>> Is this the reason for wanting the ignored data feature?
> Suppose you are working with plotted data and want to turn points on/off by
> clicking on them interactively to see how that affects a fit. Why make
> multiple copies, change sizes, destroy data, and all that nonsense? Just
> have the click update the mask and redraw.
actually perform a copy?
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