[Numpy-discussion] Vectorizing a function
Wed Jan 30 03:18:39 CST 2008
Try use a closure.
On Jan 30, 12:49 am, LB <berthe.l...@gmail.com> wrote:
> I've got some questions on the numpy.vectorize function.
> Currently, i'm doing this kind of work :
> [ code]
> def calc_0d(x, y):
> """ make complexe calculation using two scalars x and y """
> [ ... ]
> return res1, res2, res 3
> # vectorize the function
> calc = vectorize(calc_0d)
> res1, res_2, res_3 = calc(array_x, array_y)
> This works fine. Really impressive. Good work for this !
> My problem is that the complexe calculations made in calc_0d use some
> parameters, which are currently defined at the head of my python file.
> This is not very nice and I can't define a module containing theses
> two functions and call them with different parameters.
> I would like to make this cleaner and pass theses parameter as
> keyword argument, but this don't seems to be possible with vectorize.
> Indeed, some of theses parameters are array parameters and only the x
> and y arguments should be interpreted with the broadcasting rules....
> What is the "good way" for doing this ?
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