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Graphdict is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Find the shortest path between two nodes in an undirected graph:
.. code:: python
import graphdict 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 the latest version of Graphdict::
$ pip install graphdict
Install with all optional dependencies::
$ pip install graphdict[all]
For additional details, please see INSTALL.rst
.
Please report any bugs that you find here <https://github.com/taylortech75/graphdict/issues>
.
Or, even better, fork the repository on GitHub <https://github.com/taylortech75/graphdict>
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
).
Released under the 3-Clause BSD license (see LICENSE.txt
)::
Copyright (C) 2004-2021 Graphdict Developers John Smith johnsmithdev92@gmail.com
FAQs
Python package for creating and manipulating graphs and networks
We found that graphdict demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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