CompositionSpace is a python library for analysis of APT data.
Compositionspace can be installed using:
pip install compositionspace
Installation using Conda
It is strongly recommended to install and use compositionspace within a conda environment. To see how you can install conda see here.
Once a conda distribution is available, the following steps will help set up an environment to use compositionspace. First step is to clone the repository.
git clone https://github.com/eisenforschung/CompositionSpace.git
After cloning, an environment can be created from the included file-
cd CompositionSpace
conda env create -f environment.yml
Activate the environment,
conda activate compspace
then, install compositionspace using,
python setup.py install
The environment is now set up to run compositionspace.
For an example of the complete workflow using compositionspace, see example/full_workflow.ipynb.
The provided dataset is a small one for testing purposes, which is also accessible here:
Ceguerra, AV (2021) Supplementary material: APT test cases. Available at http://dx.doi.org/10.25833/3ge0-y420
Documentation is available here.