Visualize Graphs in Python Last Updated : 17 May, 2022 Comments Improve Suggest changes Like Article Like Report Prerequisites: Graph Data Structure And Algorithms A Graph is a non-linear data structure consisting of nodes and edges. The nodes are sometimes also referred to as vertices and the edges are lines or arcs that connect any two nodes in the graph. In this tutorial we are going to visualize undirected Graphs in Python with the help of networkx library. Installation: To install this module type the below command in the terminal. pip install networkx Below is the implementation. python3 # First networkx library is imported # along with matplotlib import networkx as nx import matplotlib.pyplot as plt # Defining a Class class GraphVisualization: def __init__(self): # visual is a list which stores all # the set of edges that constitutes a # graph self.visual = [] # addEdge function inputs the vertices of an # edge and appends it to the visual list def addEdge(self, a, b): temp = [a, b] self.visual.append(temp) # In visualize function G is an object of # class Graph given by networkx G.add_edges_from(visual) # creates a graph with a given list # nx.draw_networkx(G) - plots the graph # plt.show() - displays the graph def visualize(self): G = nx.Graph() G.add_edges_from(self.visual) nx.draw_networkx(G) plt.show() # Driver code G = GraphVisualization() G.addEdge(0, 2) G.addEdge(1, 2) G.addEdge(1, 3) G.addEdge(5, 3) G.addEdge(3, 4) G.addEdge(1, 0) G.visualize() Output: Comment More infoAdvertise with us Next Article Visualize Graphs in Python K kshitijjainm Follow Improve Article Tags : Python python-utility graph-basics Python-matplotlib Practice Tags : python Similar Reads Graph Plotting in Python | Set 1 This series will introduce you to graphing in Python with Matplotlib, which is arguably the most popular graphing and data visualization library for Python.InstallationThe easiest way to install matplotlib is to use pip. 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