Try use a closure.
On Jan 30, 12:49 am, LB <[EMAIL PROTECTED]> wrote: > Hi, > > 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) > [/code] > > 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 ? > > Regards, > > -- > LB > _______________________________________________ > Numpy-discussion mailing list > [EMAIL PROTECTED]://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
