Pim Schellart wrote:
I also posted this to the boost users list.
Most of the Boost Python discussion goes on here, so this is probably the better group.
I want to give a numpy ndarray as an argument to a c++ method, calculate something and return the output as an ndarray to Python. I would prefer not to use another library (such as PyUblas) for this so I do not have to add another dependency to my program.
I did this myself last year, and here's what I can tell you.
1. Is boost python still maintained or should I switch to another tool.
Yes it is maintained.
2. Is numpy supported, and if so,
Yes and no. Boost.Python has a header for dealing with Numeric arrays that works just as well with NumPy. <http://www.boost.org/doc/libs/1_40_0/libs/python/doc/v2/numeric.html>. But it works by passing all methods through the Python interpreter, so you will see no increase in speed compared to using a more low-level NumPy API.
There is num_util header created by a third-party that claims to do a lot of the wrapping. <http://www.eos.ubc.ca/research/clouds/software/pythonlibs/num_util/num_util_release2/> I ended up not using it, but instead going getting using NumPy's C API directly and keeping the pointers wrapped in boost::python::handle objects as much as possible.
3. can someone give me a basic example of how to use it.
The num_util page has an example of their code. -- Anthony Foglia Princeton Consultants (609) 987-8787 x233 _______________________________________________ Cplusplus-sig mailing list Cplusplus-sig@python.org http://mail.python.org/mailman/listinfo/cplusplus-sig
