[Numpy-discussion] Best way to expose std::vector to be used with numpy

[Chris Barker]

Sorry about SWIG -- maybe a chance to move on ;-)

I'd go with Cython -- this is pretty straightforward, and it handles the
buffer protocol for you under the hood.

And with XDress, you can get numpy wrapped std::vector out of the box, I
think:

https://s3.amazonaws.com/xdress/index.html

if you REALLY want to stick with SWIG, take a look a the SWIG numpy
interface files -- they are designed for old-fashioned C, but you could
probably adapt them.

-Chris


On Tue, Oct 14, 2014 at 8:59 AM, Toby St Clere Smithe <mail at tsmithe.net>
wrote:

> John Zwinck <jzwinck at gmail.com> writes:
> > Some time ago I needed to do something similar.  I fused the NumPy C
> > API and Boost.Python with a small bit of code which I then
> > open-sourced as part of a slightly larger library.  The most relevant
> > part for you is here:
> > https://github.com/jzwinck/pccl/blob/master/NumPyArray.hpp
>
> There is also a 'Boost.NumPy', which is quite nice, though perhaps a bit
> heavy-duty:
>
> https://github.com/ndarray/Boost.NumPy/
>
> Cheers,
>
>
> Toby
>
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>



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