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A Python implementation of a edges, vertices, and graphs

Project description

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A Python implementation of edges, vertices, and graphs

Use

There are two types of each object: Undirected and Directed.

To begin, create a graph from a dictionary of vertex names:

from graphpy.graph import UndirectedGraph

g = UndirectedGraph.from_dict({'v0': ['v1'],
                               'v1': []})

You can also initialize a graph, then add vertices and edges:

from graphpy.edge import UndirectedEdge
from graphpy.vertex import UndirectedVertex
from graphpy.graph import UndirectedGraph

g = UndirectedGraph()
v0 = UndirectedVertex(name='v0')
v1 = UndirectedVertex(name='v1')

g.add_vertex(v0)
g.add_vertex(v1)
g.add_edge(v0, v1)

Index into a graph using the name of a vertex to retrieve a vertex object:

v = g['v0']
print v

Iterate through a graph’s vertices:

for v in g:
    print v

Perform graph algorithms, such as search:

paths = g.search(start=v, method='depth_first')
print paths

>From there, use graphs to model situations, implement more graph algorithms, and whatever else you desire. And as always have fun!

(The tests found on Github at https://github.com/tscizzle/graphpy give many more examples and showcase the rest of the library’s functionality.)

Documentation

Find the documentation at: http://graphpy.readthedocs.org/en/latest

Installation

If you don’t have pip, get pip at: https://pip.pypa.io/en/stable/installing

Run the command pip install graphpy in your terminal.

To test your installation, start a Python interpreter with the python command and make sure you can run import graphpy in it without getting an error.

Contribute

Find the code at: https://github.com/tscizzle/graphpy

Support

Contact me (Tyler Singer-Clark) at tscizzle@gmail.com with any questions or concerns.

License

The project is licensed under the MIT license.

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