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Install

Install this package:

emerge -a dev-python/networkx

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/networkx

Or alternatively:

emerge --autounmask-write -a dev-python/networkx

Package Information

Description:

NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph we mean a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network we usually mean a graph with weights (fields, properties) on nodes and/or edges. The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists.

Homepage:

https://networkx.org/ https://github.com/networkx/networkx/ https://pypi.org/project/networkx/

License:

BSD

Versions

Metadata

Description

• NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph we mean a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network we usually mean a graph with weights (fields, properties) on nodes and/or edges. The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists.

Maintainers

• Python (python@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • pypi: networkx
  • github: networkx/networkx

<pkgmetadata>
	<maintainer type="project">
		<email>python@gentoo.org</email>
		<name>Python</name>
	</maintainer>
	<longdescription lang="en">
  NetworkX is a Python-based package for the creation, manipulation, and
  study of the structure, dynamics, and functions of complex networks.
  The structure of a graph or network is encoded in the edges (connections,
  links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
  unqualified, by graph we mean a simple undirected graph, i.e. no
  self-loops and no multiple edges are allowed. By a network we usually
  mean a graph with weights (fields, properties) on nodes and/or edges.
  The potential audience for NetworkX includes: mathematicians, physicists,
  biologists, computer scientists, social scientists.
  </longdescription>
	<stabilize-allarches></stabilize-allarches>
	<upstream>
		<remote-id type="pypi">networkx</remote-id>
		<remote-id type="github">networkx/networkx</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild networkx-3.6.1

Manifest