ringity
ringity is a Python package to analyze various data structures with respect to their ring structure.
- Source: https://github.com/ClusterDuck123/ringity
- Issues: https://github.com/ClusterDuck123/ringity/issues
- Docs: “coming soon”
🚀 Quick Examples
Ring Score of Networks
Calculate ring score as described in [1]:
import ringity as rng import networkx as nx G = nx.Graph() G.add_edges_from([(i%100,(i+1)%100) for i in range(100)]) dgm = rng.pdiagram(G) # constructs a persistence diagram from G dgm.ring_score() # -> 1
[1]: Paper not available yet.
Ring Score of Point Clouds
Calculate ring score as described in [2]:
import numpy as np import ringity as rng t = np.linspace(0, 2*np.pi, 100) X = np.array((np.cos(t),np.sin(t))).T rng.ring_score(X) # -> 1
[2]: Paper not available yet.
📦 Install
Install the latest version of ringity:
$ pip install ringity
👋 Used ringity in your work?
Used ringity in a paper, preprint, thesis, talk, or project? We'd love to hear about it!
Let us know by opening an issue: https://github.com/ClusterDuck123/ringity/issues
🐞 Bugs
Please report any bugs that you find here. Or, even better, fork the repository on GitHub and create a pull request. All inputs, suggestions and changes are more than welcome!
📄 License
MIT — see LICENSE.