2008/12/1 Nadav Horesh <[EMAIL PROTECTED]>:
> I does not solve the slowness problem. I think I read on the list about an
> experimental code for fast vectorization.
The choices are basically weave, fast_vectorize
(http://projects.scipy.org/scipy/scipy/ticket/727), ctypes, cython or
f2py. Any I le
] optimising single value functions for array
calculations
Hello Timmie,
numpy.vectorize(myfunc) should do what you want.
Cheers,
Emmanuelle
> Hello,
> I am developing a module which bases its calculations
> on another specialised module.
> My module uses numpy arrays a lot.
> The prob
2008/12/1 Timmie <[EMAIL PROTECTED]>:
> Hello,
> I am developing a module which bases its calculations
> on another specialised module.
> My module uses numpy arrays a lot.
> The problem is that the other module I am building
> upon, does not work with (whole) arrays but with
> single values.
> The
Hello Timmie,
numpy.vectorize(myfunc) should do what you want.
Cheers,
Emmanuelle
> Hello,
> I am developing a module which bases its calculations
> on another specialised module.
> My module uses numpy arrays a lot.
> The problem is that the other module I am building
> upon, does not work wit
Hello,
I am developing a module which bases its calculations
on another specialised module.
My module uses numpy arrays a lot.
The problem is that the other module I am building
upon, does not work with (whole) arrays but with
single values.
Therefore, I am currently forces to loop over the
array:
