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
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 with
] 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 problem is that the other
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.
Therefore, I
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 left
