README.md

EigenPy — Efficient Python bindings between Numpy/Eigen

EigenPy is an open source framework which allows to bind the famous Eigen C++ library in Python via Boost.Python.

EigenPy provides:

• full memory sharing between Numpy and Eigen avoiding memory allocation
• full support Eigen::Ref avoiding memory allocation
• full support of the Eigen::Tensor module
• exposition of the Geometry module of Eigen for easy code prototyping
• standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, and etc.
• full support of SWIG objects
• full support of runtime declaration of Numpy scalar types
• extended API to expose std::vector types
• full support of vectorization instructions between C++ and Python

Setup

The installation of EigenPy on your computer is made easy for Linux/BSD, Mac OS X and Windows environments.

The Conda approach

You simply need this simple line:

conda install eigenpy -c conda-forge

Ubuntu

You can easily install EigenPy from binairies.

Add robotpkg apt repository

1. Add robotpkg as source repository to apt:

sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list"

2. Register the authentication certificate of robotpkg:

curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add -

3. You need to run at least once apt update to fetch the package descriptions:

sudo apt-get update

Install EigenPy

4. The installation of EigenPy and its dependencies is made through the line:

sudo apt install robotpkg-py35-eigenpy

where 35 should be replaced by the python 3 you want to work this (e.g. robotpkg-py36-eigenpy to work with Python 3.6).

Mac OS X

The installation of EigenPy on Mac OS X is made via HomeBrew. You just need to register the tap of the sofware repository.

brew tap gepetto/homebrew-gepetto

and then install EigenPy for Python 3.x with:

brew install eigenpy

Credits

The following people have been involved in the development of EigenPy: