Metadata-Version: 2.1
Name: networkx
Version: 2.4
Summary: Python package for creating and manipulating graphs and networks
Home-page: http://networkx.github.io/
Author: Aric Hagberg
Author-email: hagberg@lanl.gov
Maintainer: NetworkX Developers
Maintainer-email: networkx-discuss@googlegroups.com
License: BSD
Project-URL: Bug Tracker, https://github.com/networkx/networkx/issues
Project-URL: Documentation, https://networkx.github.io/documentation/stable/
Project-URL: Source Code, https://github.com/networkx/networkx
Keywords: Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math
Platform: Linux
Platform: Mac OSX
Platform: Windows
Platform: Unix
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.5
Provides-Extra: all
Provides-Extra: gdal
Provides-Extra: lxml
Provides-Extra: matplotlib
Provides-Extra: numpy
Provides-Extra: pandas
Provides-Extra: pydot
Provides-Extra: pygraphviz
Provides-Extra: pytest
Provides-Extra: pyyaml
Provides-Extra: scipy
License-File: LICENSE.txt

NetworkX
========

.. image:: https://img.shields.io/pypi/v/networkx.svg
   :target: https://pypi.org/project/networkx/

.. image:: https://img.shields.io/pypi/pyversions/networkx.svg
   :target: https://pypi.org/project/networkx/

.. image:: https://travis-ci.org/networkx/networkx.svg?branch=master
   :target: https://travis-ci.org/networkx/networkx

.. image:: https://ci.appveyor.com/api/projects/status/github/networkx/networkx?branch=master&svg=true
   :target: https://ci.appveyor.com/project/dschult/networkx-pqott

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

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

- **Website (including documentation):** http://networkx.github.io
- **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss
- **Source:** https://github.com/networkx/networkx
- **Bug reports:** https://github.com/networkx/networkx/issues

Simple example
--------------

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

.. code:: python

    >>> 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) 2004-2019 NetworkX Developers
   Aric Hagberg <hagberg@lanl.gov>
   Dan Schult <dschult@colgate.edu>
   Pieter Swart <swart@lanl.gov>