Hi, Stefan, which version of Python and NumPy are you using?
I am upgrading Python and NumPy, and would like to get it working on the official releases of Python 2.7.2 + NumPy 1.6.1 In Python 2.6 + NumPy 1.5.1 on win32, it works. In Python 2.7.2 + NumPy 1.6.1 on win32, np.frompyfunc(add,2,1).accumulate definitely gives an error. Python 2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np >>> def add(a,b): ... return (a+b) ... >>> uadd = np.frompyfunc(add,2,1) >>> uadd <ufunc 'add (vectorized)'> >>> uadd([1,2,3],[1,2,3]) array([2, 4, 6], dtype=object) >>> >>> uadd.accumulate([1,2,3]) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: could not find a matching type for add (vectorized).accumulate, requested type has type code 'l' >>> Aditya 2011/9/19 Stéfan van der Walt <ste...@sun.ac.za> > On Mon, Sep 19, 2011 at 4:18 PM, Aditya Sethi <ady.se...@gmail.com> wrote: > > But uadd.accumulate(..) or uadd.reduce(..) fail with error: > > ValueError: could not find a matching type for add > (vectorized).accumulate > > ( or (vectorized).reduce ) > > Apologies, I should have been more clear before. > > In the development version: > > In [4]: uadd.accumulate([1,2,3]) > Out[4]: array([1, 3, 6], dtype=object) > > In [5]: uadd.reduce([1,2,3]) > Out[5]: 6 > > Regards > Stéfan > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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