Pandas/numpy C++ interface

[glyg]

First of all pandas is pure python, so I imagine it's just something like boost::python::object matter to retrieve column names, and them resorting to numpy for managing the data itself

We have two solutions here:

• https://github.com/ndarray/Boost.NumPy
  and:
• https://github.com/mdboom/numpy-boost

[hadim]

About Boost.Numpy, two things you should want to do:

• add the include files and the lib here https://github.com/CellModels/tyssue/blob/master/src/cpp-tyssue/CMakeLists.txt#L8 and here https://github.com/CellModels/tyssue/blob/master/src/cpp-tyssue/CMakeLists.txt#L25
• create a conda recipe for Boost.NumPy and upload it to https://conda.anaconda.org/ so people can easyly install it inside the virtualenv

[glyg]

Thanks. I'll do this when I'm back from the weekend.

G.

Le 10 juillet 2015 18:24:50 GMT+02:00, Hadrien Mary notifications@github.com a écrit :

About Boost.Numpy, two things you should want to do:

• add the include and the lib here
  https://github.com/CellModels/tyssue/blob/master/src/cpp-tyssue/CMakeLists.txt#L8
  and here
  https://github.com/CellModels/tyssue/blob/master/src/cpp-tyssue/CMakeLists.txt#L25
• create a conda recipe for Boost.NumPy and upload it to
  https://conda.anaconda.org/ so people can easyly install it inside the
  virtualenv

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[glyg]

Ok, one more solution:
http://docs.cython.org/src/userguide/wrapping_CPlusPlus.html

Maybe cython makes sense, asked about that on the scipy mailing list (I'll repost on cython-user if I don't have answers there).

As even a simple test fails with Boost.Numpy for now, maybe it's worth giving it a try. I know there are SWIG bindings for parts of CGAL, but I really don't like SWIG.

[glyg]

Eventually, I'm not sure I'll need CGAL anytime soon. When I need it, I'll most certainly use cython