Understood. Thanks Olivier, Stefan. On Tue, Sep 20, 2011 at 9:18 AM, Olivier Delalleau <sh...@keba.be> wrote:
> He is using the development version of Numpy, which is probably the main > difference (I tried it too with Numpy 1.6.1 on an x86_64 Linux architecture > and got the same bug). > If you want to use an official Numpy release you'll probably need to > downgrade to 1.5.x and wait until the next Numpy release. > > -=- Olivier > > > 2011/9/20 Aditya Sethi <ady.se...@gmail.com> > >> 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 >>> >> >> >> _______________________________________________ >> 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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