The aim of this toolbox is to provide tools to perform data analyses on orientation maps.
An orientation map is a 2d image where a 3d unit vector is assign at each pixel.
Those analyses are build around the [`xarray`](http://xarray.pydata.org/en/stable/) library and two accessors [`xarrayaita`](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/lib_python/xarray_aita) and [`xarrayuvecs`](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/lib_python/xarray_uvecs).
These analyses are built around the [`xarray`](http://xarray.pydata.org/en/stable/) library and two accessors [`xarrayaita`](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/lib_python/xarray_aita) and [`xarrayuvecs`](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/lib_python/xarray_uvecs).
All this documentation is built from jupyter-notebook and can be run using MyBinder by clicking on the "launch button" on the top right of this page (the little rocket 🚀).
You are welcome to contribute to the project. Here are some ways to contribute to it :
You are welcome to contribute to the project. To do so you can:
1. Submit commit to fix bug or add new functionalities.
2. Report [issues](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/documentations/AITA-book/-/issues) that you have found using those tools.
3. Talk about the tools around you if you find it interesting and/or put a star on it.
2. Report [issues](https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/documentations/AITA-book/-/issues) that you have found using the tools.
3. Talk about these tools around you if you find it interesting and/or put a star on it.
Feel free to [contact me](mailto:thomas.chauve@univ-grenoble-alpes.fr) if you like to discuss about it.