ringity is a Python package to analyze various data structures with respect to their ring structure.
- Source: https://github.com/ClusterDuck123/ringity
- Bug reports: https://github.com/ClusterDuck123/ringity/issues
- Contact Person: mk.youssef@hotmail.com
- Documentation: Not available yet.
This package is still under construction!
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.diagram(G)
>>> dgm.ring_score()
1[1]: Paper not available yet.
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 the latest version of ringity:
$ pip install ringity
- Changed foldername data to _data
- The persistent diagram class PersistenceDiagram has ring_score now as a method, not as a property. As a result, the function is now called via dgm.ring_score() insted of dgm.ring_score! (Notice the change in brackets) We appologize if this is breaking old code; such changes will be avoided in the future.
- Integration of various ring-score "flavours".
- Extended usage for point clouds.
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!
Released under the MIT License (see LICENSE.txt):
Copyright (c) 2019 Markus K. Youssef <mk.youssef@hotmail.com>
If you want to cite this package, please use the DOI: 10.5281/ZENODO.4908927