On Fri, Feb 6, 2009 at 6:11 PM, Darren Dale wrote:
> On Fri, Feb 6, 2009 at 5:18 PM, Pierre GM wrote:
>
>>
>> On Feb 6, 2009, at 4:25 PM, Darren Dale wrote:
>>
>> >
>> > I've been looking at how ma implements things like multiply() and
>> > MaskedArray.__mul__. I'm surprised that MaskedArray.__m
On Fri, Feb 6, 2009 at 5:18 PM, Pierre GM wrote:
>
> On Feb 6, 2009, at 4:25 PM, Darren Dale wrote:
>
> >
> > I've been looking at how ma implements things like multiply() and
> > MaskedArray.__mul__. I'm surprised that MaskedArray.__mul__ actually
> > calls ma.multiply() rather than calling
> >
On Feb 6, 2009, at 4:25 PM, Darren Dale wrote:
>
> I've been looking at how ma implements things like multiply() and
> MaskedArray.__mul__. I'm surprised that MaskedArray.__mul__ actually
> calls ma.multiply() rather than calling
> super(MaskedArray,self).__mul__().
There's some under-the-
On Sun, Feb 1, 2009 at 7:39 PM, Darren Dale wrote:
> On Sun, Feb 1, 2009 at 7:33 PM, Pierre GM wrote:
>
>>
>> On Feb 1, 2009, at 6:32 PM, Darren Dale wrote:
>> >
>> >
>> > Is there an analog to __array_wrap__ for preprocessing arrays on
>> > their way *into* a ufunc? For example, it would be nic
On Sun, Feb 1, 2009 at 7:33 PM, Pierre GM wrote:
>
> On Feb 1, 2009, at 6:32 PM, Darren Dale wrote:
> >
> >
> > Is there an analog to __array_wrap__ for preprocessing arrays on
> > their way *into* a ufunc? For example, it would be nice if one could
> > do something like:
> >
> > numpy.sin([1,2,3
On Feb 1, 2009, at 6:32 PM, Darren Dale wrote:
>
>
> Is there an analog to __array_wrap__ for preprocessing arrays on
> their way *into* a ufunc? For example, it would be nice if one could
> do something like:
>
> numpy.sin([1,2,3]*arcseconds)
>
> where we have the opportunity to inspect the c
I've been playing with __array_wrap__ to make quantities with units play
well with numpy's ufuncs. For example, __array_wrap__ makes it is possible
to do the following:
>>> numpy.sqrt([1.,4.,9.]*m**2)
array([1.,2.,3.])*m
Is there an analog to __array_wrap__ for preprocessing arrays on their way
*
