Python package for working with symmetric matrices in non-redundant format.
See full documentation here.
The triarray package contains tools for working with large symmetric matrices while only storing the elements in the upper or lower triangle, thus halving memory requirements.
triarray uses Numba's just-in-time compilation to generate high-performance C code that works with any data type and is easily extendable (including within a Jupyter notebook).
- Numpy 1.11 or above
- Numba 0.30 or above
The easiest way is to use pip:
pip install triarray
or you can clone the repository and run the setup script:
cd path/to/triarray
python setup.py install
This project is licensed under the MIT License - see the LICENSE file for details.