Hi all,
I've gotten to the point where Numpy recognizes the objects (represented as
doubles), but I haven't figured out how to register ufunc loops on the
custom type. It seems like Numpy should be able to check that the scalarkind
variable in the numpy type descriptor is set to float and use the float
ufuncs on the custom object. Barring that, does anyone know if the symbols
for the ufuncs are publicly accessible (and where they are) so that I can
register them with Numpy on the custom type?
As for sharing code, I've been working on this for a project at work. There
is a possibility that it will be released to the Numpy community, but that's
not clear yet.
Thanks,
Jonathan
On 11/16/06, Matt Knox <[EMAIL PROTECTED]> wrote:
> On Thursday 16 November 2006 11:44, David Douard wrote:
> > Hi, just to ask you: how is the work going on encapsulatinsg
mx.DateTime
> > as a native numpy type?
> > And most important: is the code available somewhere? I am also
> > interested in using DateTime objects in numpy arrays. For now, I've
> > always used arrays of floats (using gmticks values of dates).
> And I, as arrays of objects (well, I wrote a subclass to deal with
dates,
> where each element is a datetime object, with methods to translate to
floats
> or strings , but it's far from optimal...). I'd also be quite interested
in
> checking what has been done.
I'm also very interested in the results of this. I need to do something
very similar and am currently relying on an ugly hack to achieve the desired
result.
- Matt Knox
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