Welcome to AITA book

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.

These analyses are built around the xarray library and two accessors xarrayaita and xarrayuvecs.

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 🚀).



The xarray dependencies

  • aita accessor : A xarray.Dataset accesor for managing orientation data.

  • uvecs accessor : uvecs for “Unit VECctor that are Symmetrical” management (UVECS). A xarray.DataArray accesor.

Install environement

If you want to install the python environnement locally on your computer, we recommand using conda. You can follow this quick start to set-up conda.

Once conda is set-up you can install your environement using the environment.yml file.

conda env create -n MyenvAITA -f environment.yml

To activate this environment use :

conda activate MyenvAITA

Play with the notebooks on your computer

You can clone this repository :

git clone https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/documentations/AITA-book


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 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 if you wish to discuss it.