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A fast python graph library based on numpy and scipy.

Project description

Another Python Graph Library is a simple, fast and easy to use graph library. Here is an example of its usage:

::

>>> from apgl.graph import GeneralVertexList, SparseGraph
>>> numVertices = 5
>>> graph = SparseGraph(numVertices)
>>> graph[0,1] = 1
>>> graph[0,2] = 3
>>> graph[1,2] = 0.1
>>> graph[3,4] = 2
>>> graph.setVertex(0, "abc")
>>> graph.findConnectedComponents()
[[0, 1, 2], [3, 4]]
>>> graph.getWeightMatrix()
array([[ 0. , 1. , 3. , 0. , 0. ],
[ 1. , 0. , 0.1, 0. , 0. ],
[ 3. , 0.1, 0. , 0. , 0. ],
[ 0. , 0. , 0. , 0. , 2. ],
[ 0. , 0. , 0. , 2. , 0. ]])
>>> graph.degreeDistribution()
array([0, 2, 3])
>>> graph.neighbours(0)
array([2, 1], dtype=int32)
>>> print(graph)
SparseGraph: vertices 5, edges 4, undirected, vertex list type: GeneralVertexList


More Information
----------------

* See the user guide at http://pythonhosted.org/apgl/
* The source code is available at https://github.com/charanpald/APGL

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