167 lines
6.2 KiB
Text
167 lines
6.2 KiB
Text
Metadata-Version: 2.4
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Name: networkx
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Version: 3.5
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Summary: Python package for creating and manipulating graphs and networks
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Author-email: Aric Hagberg <hagberg@lanl.gov>
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Maintainer-email: NetworkX Developers <networkx-discuss@googlegroups.com>
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Project-URL: Homepage, https://networkx.org/
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Project-URL: Bug Tracker, https://github.com/networkx/networkx/issues
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Project-URL: Documentation, https://networkx.org/documentation/stable/
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Project-URL: Source Code, https://github.com/networkx/networkx
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Keywords: Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math
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Platform: Linux
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Platform: Mac OSX
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Platform: Windows
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Platform: Unix
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
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Classifier: Topic :: Scientific/Engineering :: Information Analysis
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Classifier: Topic :: Scientific/Engineering :: Mathematics
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Classifier: Topic :: Scientific/Engineering :: Physics
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Requires-Python: >=3.11
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Description-Content-Type: text/x-rst
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License-File: LICENSE.txt
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Provides-Extra: default
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Requires-Dist: numpy>=1.25; extra == "default"
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Requires-Dist: scipy>=1.11.2; extra == "default"
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Requires-Dist: matplotlib>=3.8; extra == "default"
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Requires-Dist: pandas>=2.0; extra == "default"
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Provides-Extra: developer
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Requires-Dist: pre-commit>=4.1; extra == "developer"
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Requires-Dist: mypy>=1.15; extra == "developer"
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Provides-Extra: doc
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Requires-Dist: sphinx>=8.0; extra == "doc"
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Requires-Dist: pydata-sphinx-theme>=0.16; extra == "doc"
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Requires-Dist: sphinx-gallery>=0.18; extra == "doc"
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Requires-Dist: numpydoc>=1.8.0; extra == "doc"
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Requires-Dist: pillow>=10; extra == "doc"
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Requires-Dist: texext>=0.6.7; extra == "doc"
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Requires-Dist: myst-nb>=1.1; extra == "doc"
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Requires-Dist: intersphinx-registry; extra == "doc"
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Provides-Extra: example
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Requires-Dist: osmnx>=2.0.0; extra == "example"
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Requires-Dist: momepy>=0.7.2; extra == "example"
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Requires-Dist: contextily>=1.6; extra == "example"
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Requires-Dist: seaborn>=0.13; extra == "example"
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Requires-Dist: cairocffi>=1.7; extra == "example"
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Requires-Dist: igraph>=0.11; extra == "example"
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Requires-Dist: scikit-learn>=1.5; extra == "example"
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Provides-Extra: extra
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Requires-Dist: lxml>=4.6; extra == "extra"
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Requires-Dist: pygraphviz>=1.14; extra == "extra"
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Requires-Dist: pydot>=3.0.1; extra == "extra"
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Requires-Dist: sympy>=1.10; extra == "extra"
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Provides-Extra: test
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Requires-Dist: pytest>=7.2; extra == "test"
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Requires-Dist: pytest-cov>=4.0; extra == "test"
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Requires-Dist: pytest-xdist>=3.0; extra == "test"
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Provides-Extra: test-extras
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Requires-Dist: pytest-mpl; extra == "test-extras"
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Requires-Dist: pytest-randomly; extra == "test-extras"
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Dynamic: license-file
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NetworkX
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========
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.. image::
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https://github.com/networkx/networkx/workflows/test/badge.svg?branch=main
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:target: https://github.com/networkx/networkx/actions?query=workflow%3Atest
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.. image::
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https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg?
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:target: https://app.codecov.io/gh/networkx/networkx/branch/main
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.. image::
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https://img.shields.io/pypi/v/networkx.svg?
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:target: https://pypi.python.org/pypi/networkx
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.. image::
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https://img.shields.io/pypi/l/networkx.svg?
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:target: https://github.com/networkx/networkx/blob/main/LICENSE.txt
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.. image::
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https://img.shields.io/pypi/pyversions/networkx.svg?
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:target: https://pypi.python.org/pypi/networkx
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.. image::
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https://img.shields.io/github/labels/networkx/networkx/good%20first%20issue?color=green&label=contribute
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:target: https://github.com/networkx/networkx/contribute
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NetworkX is a Python package for the creation, manipulation,
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and study of the structure, dynamics, and functions
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of complex networks.
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- **Website (including documentation):** https://networkx.org
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- **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss
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- **Source:** https://github.com/networkx/networkx
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- **Bug reports:** https://github.com/networkx/networkx/issues
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- **Report a security vulnerability:** https://tidelift.com/security
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- **Tutorial:** https://networkx.org/documentation/latest/tutorial.html
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- **GitHub Discussions:** https://github.com/networkx/networkx/discussions
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- **Discord (Scientific Python) invite link:** https://discord.com/invite/vur45CbwMz
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- **NetworkX meetings calendar (open to all):** https://scientific-python.org/calendars/networkx.ics
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Simple example
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--------------
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Find the shortest path between two nodes in an undirected graph:
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.. code:: pycon
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>>> import networkx as nx
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>>> G = nx.Graph()
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>>> G.add_edge("A", "B", weight=4)
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>>> G.add_edge("B", "D", weight=2)
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>>> G.add_edge("A", "C", weight=3)
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>>> G.add_edge("C", "D", weight=4)
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>>> nx.shortest_path(G, "A", "D", weight="weight")
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['A', 'B', 'D']
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Install
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-------
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Install the latest released version of NetworkX:
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.. code:: shell
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$ pip install networkx
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Install with all optional dependencies:
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.. code:: shell
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$ pip install networkx[default]
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For additional details,
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please see the `installation guide <https://networkx.org/documentation/stable/install.html>`_.
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Bugs
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----
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Please report any bugs that you find `here <https://github.com/networkx/networkx/issues>`_.
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Or, even better, fork the repository on `GitHub <https://github.com/networkx/networkx>`_
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and create a pull request (PR). We welcome all changes, big or small, and we
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will help you make the PR if you are new to `git` (just ask on the issue and/or
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see the `contributor guide <https://networkx.org/documentation/latest/developer/contribute.html>`_).
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License
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-------
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Released under the `3-clause BSD license <https://github.com/networkx/networkx/blob/main/LICENSE.txt>`_::
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Copyright (c) 2004-2025, NetworkX Developers
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Aric Hagberg <hagberg@lanl.gov>
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Dan Schult <dschult@colgate.edu>
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Pieter Swart <swart@lanl.gov>
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