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A small example of using boost.python, boost.numpy and the C++ Eigen matrix library together. New home at

This has been archived. New home is at

https://github.com/personalrobotics/boost_numpy_eigen

This is a simple example on how to use boost.python and boost.numpy to call c++ code form python and convert numpy arrays to Eigen.

To run (assuming you've boost.python already installed)::

git submodule init git submodule update ./build.sh # will build boost.numpy make ./run.sh hello.py make test ./run.sh test_eigen_numpy.py

Links :

https://github.com/ndarray/Boost.NumPy

http://eigen.tuxfamily.org/index.php?title=Main_Page

There also is the 'ndarray' project, that aims at providing a multidimensionnal array library similar to numpy.ndarray for C++. Some of the code comes from ndarray : https://github.com/ndarray/ndarray

TODO:

  • The from python converts do some data copy. This could hurt for big matrices