ndarray: NumPy-friendly multidimensional arrays in C++

ndarray is a template library that provides multidimensional array objects in C++, with an interface and features designed to mimic the Python 'numpy' package as much as possible.

More information can be found in the documentation at ndarray.github.io/ndarray.

Building from Git

ndarray includes the Boost.NumPy library using git's "submodules" feature. When you clone the ndarray repository with git, you'll get an empty Boost.NumPy directory. Even if you don't plan to use Boost.NumPy (which is required only if you want to build the Boost.Python bindings for ndarray), it is necessary to checkout the Boost.NumPy source (as parts of the build system is shared). So, immediately after cloning ndarray, you'll need to run:

git submodule update --init --recursive

From there, you'll be able to build ndarray and (optionally) Boost.NumPy together just by running "scons" from the root of the ndarray clone.

A partial cmake build has also recently been added, and we expect it to eventually replace SCons as the recommended approach, but it does not yet support building against Boost.NumPy to provide bindings for Boost.Python.

To build with cmake, do:

mkdir build
cd build
cmake ..
make
make test

Inclusion and testing of optional dependencies is controlled by NDARRAY_* cmake options. Dependency resolution can be controlled by the PYBIND11_DIR, EIGEN_DIR, and FFTW_DIR environment variables. For example, to build with an alternate Eigen3 install location and disable FFTW testing replace cmake .. with EIGEN_DIR=/opt/local cmake -DNDARRY_FFTW=OFF ...

Building from Compressed Source

GitHub's automatically generated tarballs and zip files don't include the Boost.NumPy submodule or the git metadata needed to run "git submodule", so these features can't be used to download ndarray.

When we post release downloads, however, we'll include the Boost.NumPy source so they can be built directly.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!