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Metadata-Version: 2.1
Name: networkx
Version: 2.5
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: UNKNOWN
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
Description: 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):** https://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) 2004-2020 NetworkX Developers
           Aric Hagberg <hagberg@lanl.gov>
           Dan Schult <dschult@colgate.edu>
           Pieter Swart <swart@lanl.gov>
        
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 :: 3.6
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: >=3.6
Provides-Extra: all
Provides-Extra: gdal
Provides-Extra: lxml
Provides-Extra: matplotlib
Provides-Extra: pytest
Provides-Extra: numpy
Provides-Extra: pandas
Provides-Extra: pydot
Provides-Extra: pygraphviz
Provides-Extra: pyyaml
Provides-Extra: scipy