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    networkx

Python package for creating and manipulating graphs and networks


Maintainers
5

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NetworkX

.. image:: https://github.com/networkx/networkx/workflows/test/badge.svg?branch=main :target: https://github.com/networkx/networkx/actions?query=workflow%3A%22test%22

.. image:: https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg :target: https://app.codecov.io/gh/networkx/networkx/branch/main

.. image:: https://img.shields.io/github/labels/networkx/networkx/Good%20First%20Issue?color=green&label=Contribute%20&style=flat-square :target: https://github.com/networkx/networkx/issues?q=is%3Aopen+is%3Aissue+label%3A%22Good+First+Issue%22

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

Simple example

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

.. code:: pycon

>>> import networkx 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 NetworkX::

$ pip install networkx

Install with all optional dependencies::

$ pip install networkx[all]

For additional details, please see INSTALL.rst.

Bugs

Please report any bugs that you find here <https://github.com/networkx/networkx/issues>. Or, even better, fork the repository on GitHub <https://github.com/networkx/networkx> 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) 2004-2024 NetworkX Developers Aric Hagberg hagberg@lanl.gov Dan Schult dschult@colgate.edu Pieter Swart swart@lanl.gov

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