{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Graph Implementation Using Adjacency Matrix\n", "for undirected graph, with weighted or unweighted edges. \n", "© Joe James, 2019." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vertex Class\n", "A vertex object only needs to store its name. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "class Vertex:\n", " def __init__(self, n):\n", " self.name = n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Graph Class\n", "A graph object has three attributes: \n", "**vertices** - a dictionary with vertex_name:vertex_object. \n", "**edges** - a 2-dimensional list (ie. a matrix) of edges. for an unweighted graph it will contain 0 for no edge and 1 for edge. \n", "**edge_indices** - a dictionary with vertex_name:list_index (eg. A:0) to access edges. \n", "add_vertex updates all three of these attributes. \n", "add_edge only needs to update the edges matrix." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "class Graph:\n", " vertices = {}\n", " edges = []\n", " edge_indices = {}\n", " \n", " def add_vertex(self, vertex):\n", " if isinstance(vertex, Vertex) and vertex.name not in self.vertices:\n", " self.vertices[vertex.name] = vertex\n", " # for loop appends a column of zeros to the edges matrix\n", " for row in self.edges:\n", " row.append(0)\n", " # append a row of zeros to the bottom of the edges matrix\n", " self.edges.append([0] * (len(self.edges)+1))\n", " self.edge_indices[vertex.name] = len(self.edge_indices)\n", " return True\n", " else:\n", " return False\n", " \n", " def add_edge(self, u, v, weight=1):\n", " if u in self.vertices and v in self.vertices:\n", " self.edges[self.edge_indices[u]][self.edge_indices[v]] = weight\n", " self.edges[self.edge_indices[v]][self.edge_indices[u]] = weight\n", " return True\n", " else:\n", " return False\n", " \n", " def print_graph(self):\n", " for v, i in sorted(self.edge_indices.items()):\n", " print(v + ' ', end='')\n", " for j in range(len(self.edges)):\n", " print(self.edges[i][j], end=' ')\n", " print(' ')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Test Code\n", "Here we create a new Graph object. We create a new vertex named A. We add A to the graph. Then we add new vertex B to the graph. Then we iterate from A to K and add a bunch of vertices to the graph. Since the add_vertex method checks for duplicates, A and B are not added twice.\n", "This is exactly the same test code we used for the graph with adjacency lists." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "g = Graph()\n", "a = Vertex('A')\n", "g.add_vertex(a)\n", "g.add_vertex(Vertex('B'))\n", "for i in range(ord('A'), ord('K')):\n", " g.add_vertex(Vertex(chr(i)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "An edge consists of two vertex names. Here we iterate through a list of edges and add each to the graph. \n", "\n", "This print_graph method doesn't give a very good visualization of the graph, but it does show the adjacency matrix so we can see each vertex's neighbors." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "A 0 1 0 0 1 0 0 0 0 0 \n", "B 1 0 0 0 0 1 0 0 0 0 \n", "C 0 0 0 0 0 0 1 0 0 0 \n", "D 0 0 0 0 1 0 0 1 0 0 \n", "E 1 0 0 1 0 0 0 1 0 0 \n", "F 0 1 0 0 0 0 1 0 1 1 \n", "G 0 0 1 0 0 1 0 0 0 1 \n", "H 0 0 0 1 1 0 0 0 1 0 \n", "I 0 0 0 0 0 1 0 1 0 0 \n", "J 0 0 0 0 0 1 1 0 0 0 \n" ] } ], "source": [ "edges = ['AB', 'AE', 'BF', 'CG', 'DE', 'DH', 'EH', 'FG', 'FI', 'FJ', 'GJ', 'HI']\n", "for edge in edges:\n", " g.add_edge(edge[0], edge[1])\n", "\n", "g.print_graph()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 2 }