Timothy Hochberg wrote: > On 2/14/07, *Wojciech Śmigaj* <[EMAIL PROTECTED] > <mailto:[EMAIL PROTECTED]>> wrote: >> I have a question about the vectorize function. I'd like to use it to >> create a vectorized version of a class method. I've tried the following >> code: >> >> from numpy import * >> >> class X: >> def func(self, n): >> return 2 * n # example >> func = vectorize(func) >> >> [...]
> I think you want staticmethod. Something like: > > class X: > def f(x): > return 2*x > f = staticmethod(vectorize(x)) > > However, I don't have a Python distribution available here to check > that. If that doesn't work, as search on staticmethod should get you to > the correct syntax. > > I'll just note in passing that if your function is composed of > completely of things that will operate on arrays as is (as your example > is), then vectorizing the function is counter productive. However, your > real code may well need vectorize to work. Thank you for your answer. I see now that my example was oversimplified. In reality, the method func() accesses internal data of the object, so it cannot be made a staticmethod. In addition, it does not operate on the array as a whole: basically, it does calculations according to some formula if n != 0, and to another one otherwise. Perhaps both parts could be merged in some intelligent way, but right now I want to make the program work, and optimization will be done later. And vectorize is a very nice and quick way of making functions accept arrays, even if it is not super-efficient. Best regards, Wojciech Smigaj _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
