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graphflux is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Resources

Simple Example

Find the shortest path between two nodes in an undirected graph:

>>> import graphflux as nx
>>> G = nx.Graph()
>>> G.add_edge('A', 'B', weight=4)
>>> G.add_edge('B', 'D', weight=2)
>>> G.add_edge('A', 'C', weight=3)
>>> G.add_edge('C', 'D', weight=4)
>>> nx.shortest_path(G, 'A', 'D', weight='weight')
['A', 'B', 'D']

Install

Install the latest version of graphflux:

$ pip install graphflux

Install with all optional dependencies:

$ pip install graphflux[all]

For additional details, please see INSTALL.rst.

Bugs

Please report any bugs you find here. Or, even better, fork the repository on GitHub and create a pull request (PR). We welcome all changes, big or small, and we will help you make the PR if you are new to git (just ask on the issue and/or see CONTRIBUTING.rst).

License

Released under the 3-Clause BSD license (see LICENSE.txt):

Copyright (C) 2004–2021 graphflux Developers
Roksana <roksanamariakusza@gmail.com>

Metadata

Release files for graphflux 3.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for graphflux 3.4.2
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Table of built distributions (wheels) for graphflux 3.4.2
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graphflux-3.4.2-py3-none-any.whl Python 3 none any Details

Total release size: 3.8 MB

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