{ "info": { "author": "Charanpal Dhanjal", "author_email": "charanpal@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)", "Operating System :: OS Independent", "Programming Language :: Python" ], "description": "Another Python Graph Library is a simple, fast and easy to use graph library. Here is an example of its usage:\n \n ::\n \n >>> from apgl.graph import GeneralVertexList, SparseGraph \n >>> numVertices = 5\n >>> graph = SparseGraph(numVertices)\n >>> graph[0,1] = 1\n >>> graph[0,2] = 3\n >>> graph[1,2] = 0.1\n >>> graph[3,4] = 2\n >>> graph.setVertex(0, \"abc\") \n >>> graph.findConnectedComponents()\n [[0, 1, 2], [3, 4]]\n >>> graph.getWeightMatrix()\n array([[ 0. , 1. , 3. , 0. , 0. ],\n [ 1. , 0. , 0.1, 0. , 0. ],\n [ 3. , 0.1, 0. , 0. , 0. ],\n [ 0. , 0. , 0. , 0. , 2. ],\n [ 0. , 0. , 0. , 2. , 0. ]])\n >>> graph.degreeDistribution()\n array([0, 2, 3])\n >>> graph.neighbours(0)\n array([2, 1], dtype=int32)\n >>> print(graph)\n SparseGraph: vertices 5, edges 4, undirected, vertex list type: GeneralVertexList\n \n \n More Information \n ----------------\n \n * See the user guide at http://pythonhosted.org/apgl/\n * The source code is available at https://github.com/charanpald/APGL", "description_content_type": null, "docs_url": null, "download_url": null, 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