Ah yes; you can use.. from types import MethodType
...to dynamically add methods to specific instances of a type. This may be cleaner or more pythonic than performing a check within the method, I dunno. On Wed, Oct 1, 2014 at 4:41 PM, Benjamin Root <ben.r...@ou.edu> wrote: > Actually, if I remember correctly, special methods show up in the ndarray > object when the dtype is datetime64, right? > > On Wed, Oct 1, 2014 at 10:13 AM, Eelco Hoogendoorn < > hoogendoorn.ee...@gmail.com> wrote: > >> Well, the method will have to be present on all ndarrays, since >> structured arrays do not have a different type from regular arrays, only a >> different dtype. Thus the attribute has to be present regardless, but some >> Exception will have to be raised depending on the dtype, to make it quack >> like the kind of duck it is, so to speak. Indeed it seems like an atypical >> design pattern; but I don't see a problem with it. >> >> On Wed, Oct 1, 2014 at 4:08 PM, John Zwinck <jzwi...@gmail.com> wrote: >> >>> On 1 Oct 2014 04:30, "Stephan Hoyer" <sho...@gmail.com> wrote: >>> > >>> > On Tue, Sep 30, 2014 at 1:22 PM, Eelco Hoogendoorn < >>> hoogendoorn.ee...@gmail.com> wrote: >>> >> >>> >> On more careful reading of your words, I think we agree; indeed, if >>> keys() is present is should return an iterable; but I don't think it should >>> be present for non-structured arrays. >>> > >>> > Indeed, I think we do agree. The attribute can simply be missing >>> (e.g., accessing it raises AttributeError) for non-structured arrays. >>> >>> I'm generally fine with this, though I would like to know if there is >>> precedent for methods being present on structured arrays only. Even if >>> there is no precedent I am still OK with the idea, I just think we should >>> understand if how novel this will be. >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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