Hello Nathan.
Find my answers below.
2009/11/10 Nathan Huesken <boost-pyt...@lonely-star.org>:
> Hi,
>
> I am trying to interaface a numpy array using boost::python::numeric::array.
>
> void function(numeric::array& a)
> {
> tuple shape=extract<tuple>(a.getshape());
> double x;
> int i,j;
> for(i=0;i<shape[0];++i)
> for(j=0;j<shape[1];++j)
> x=extract<double>(a[make_tuple(i,j)]);
> }
>
> Now I had to add
> numeric::array::set_module_and_type("numpy", "ndarray");
>
> to the module, hope that was correct.
>
> When I call this function in python, I get:
> AttributeError: 'numpy.ndarray' object has no attribute 'getshape'
The error comes out because, actually, numpy.ndarray has no getshape method.
>
> What is the correct way to do it?
>
Within your function, declare
const tuple &shape = extract<tuple>(in.attr("shape"));
I suggest you to have a look also at my open source library (mds-utils):
http://code.google.com/p/mds-utils/
I've written some from/to Python converters that are able to convert a
Python sequence directly into a Boost uBLAS vector or matrix.
If you download the software, you can build the doxygen documentation
(follow the instructions) and you will find an example for each C++
class or function.
In other words, using my library, you could write your function as:
void function(const boost::numeric::ublas::matrix<double>& m) {
...
}
and export it to Python and pass, from Python, a Numpy 2D array.
Have a look at mds-utils and at its usage examples.
Bye,
Michele
> Thanks!
> Nathan
> --
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--
Michele De Stefano
http://www.linkedin.com/in/micdestefano
http://code.google.com/p/mds-utils
http://xoomer.virgilio.it/michele_de_stefano
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