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Gallery¶

General-purpose and introductory examples for NetworkX. The tutorial introduces conventions and basic graph manipulations.

Basic¶

Properties — Properties¶

Read and write graphs. — Read and write graphs.¶

Simple graph — Simple graph¶

3D Drawing¶

Mayavi2 — Mayavi2¶

Basic matplotlib — Basic matplotlib¶

Graphviz Layout¶

Examples using Graphviz layouts with nx_pylab for drawing. These examples need Graphviz and PyGraphviz.

Atlas — Atlas¶

Circular Tree — Circular Tree¶

Decomposition — Decomposition¶

Giant Component — Giant Component¶

Lanl Routes — Lanl Routes¶

Graphviz Drawing¶

Examples using Graphviz for layout and drawing via nx_agraph. These examples need Graphviz and PyGraphviz.

Attributes — Attributes¶

Conversion — Conversion¶

2D Grid — 2D Grid¶

Atlas — Atlas¶

Graph¶

Degree Sequence — Degree Sequence¶

Erdos Renyi — Erdos Renyi¶

Expected Degree Sequence — Expected Degree Sequence¶

Football — Football¶

Karate Club — Karate Club¶

Napoleon Russian Campaign — Napoleon Russian Campaign¶

Roget — Roget¶

Words/Ladder Graph — Words/Ladder Graph¶

External libraries¶

Examples of using NetworkX with external libraries.

Javascript — Javascript¶

igraph — igraph¶

Geospatial¶

The following geospatial examples showcase different ways of performing network analyses using packages within the geospatial Python ecosystem. Example spatial files are stored directly in this directory. See the extended description for more details.

Delaunay graphs from geographic points — Delaunay graphs from geographic points¶

Graphs from a set of lines — Graphs from a set of lines¶

OpenStreetMap with OSMnx — OpenStreetMap with OSMnx¶

Graphs from geographic points — Graphs from geographic points¶

Graphs from Polygons — Graphs from Polygons¶

Subclass¶

Antigraph — Antigraph¶

Print Graph — Print Graph¶

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