CompositionSpace is a python library for analysis of TEM data.


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:

After cloning, an environment can be created from the included file:

cd CompositionSpaceNFDI
conda env create -f environment.yml

Activate the environment,:

conda activate compspace

then, install compositionspace using:

python install

The environment is now set up to run calphy.


API reference#

Indices and tables#