ringity 0.3a6

Calculate ring score for various data structures

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: [e-mail]

• Documentation: Not available yet.

Notes

This package is still under construction!

Simple network example

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.

Simple point cloud example

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

Latest Changes

• 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.

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

Released under the MIT License (see LICENSE.txt):

Copyright (c) 2019 Markus K. Youssef <[e-mail]>

How to cite

If you want to cite this package, please use the DOI: 10.5281/ZENODO.4908927