Oh, sorry, I hadn't paid enough attention to the way you are indexing A: if you are using an array to index, it creates a copy, so using ".fill" will fill the copy and you won't see the result. Instead, use A[0:3], A[3:6], etc.
-=- Olivier 2012/1/9 "David Köpfer" <dkoep...@gmx.de> > Hi Oliver, > > thank you very much for your reply, sadly it is not working as you and I > hoped. The array still stays at None even after the code. > > I've also tried A[X] = [MyObject(...)]*len(X) but that just results in a > Memory error. > > So is there really no way to avoid this broadcasting? > > David > > > -------- Original-Nachricht -------- > > Datum: Sun, 8 Jan 2012 16:16:33 -0500 > > Von: Olivier Delalleau <sh...@keba.be> > > An: Discussion of Numerical Python <numpy-discussion@scipy.org> > > Betreff: Re: [Numpy-discussion] filling an alice of array of object with > a reference to an object that has a __getitem__ method > > > You could try A[...].fill(MyObject(...)). I haven't tried it myself, so > > not > > sure it would work though... > > > > -=- Olivier > > > > 2012/1/6 "David Köpfer" <dkoep...@gmx.de> > > > > > Dear numpy community, > > > > > > I'm trying to create an array of type object. > > > > > > A = empty(9, dtype=object) > > > A[ array(0,1,2) ] = MyObject(1) > > > A[ array(3,4,5) ] = MyObject(2) > > > A[ array(6,7,8) ] = MyObject(3) > > > > > > This has worked well until MyObject has gotten an __getitem__ method. > > Now > > > python (as it is usually supposed to) assigns A[0] to MyObject(1)[0], > > [1] > > > to MyObject(1)[1] and so on. > > > > > > Is there any way to just get a reference of the instance of MyObject > > into > > > every entry of the array slice? > > > > > > Thank you for any help on this problem > > > David > > > _______________________________________________ > > > NumPy-Discussion mailing list > > > NumPy-Discussion@scipy.org > > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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