ect: Euler Characteristic Transform in Python

Python computation tools for computing the Euler Characteristic Transform of embedded graphs.

Table of Contents

Contents:

• 1. Getting Started
• 2. Modules
• 3. Tutorials
• 4. Contributing
• 5. License
• 6. Citing

Description

Right now, the content includes stuff for doing ECT on graphs embedded in 2D. Eventually the goal is to get voxel versions, higher dimensional simplicial complexes, etc in here.

For more information on the ECT, see:

Elizabeth Munch. An Invitation to the Euler Characteristic Transform. arXiv:2310.10395. 2023.

Getting Started

Documentation and tutorials

• The documentation is available at: munchlab.github.io/ect

• A tutorial jupyter notebook can be found here

• The source code can be found at: github.com/MunchLab/ect

Dependencies

• networkx

• numpy

• matplotlib

• numba

Installing

The package can be installed using pip:

pip install ect

Alternatively, you can clone the repo and install directly

git clone git@github.com:MunchLab/ect.git
cd ect
pip install .

Authors

This code was written by Liz Munch along with her research group and collaborators. People who have contributed to ect include:

• Sarah McGuire

License

This project is licensed under the GPLv3 License - see the License file for details

Contact Information

• Liz Munch: Website, Email