This video will show you how to draw bar chart using matplotlib in python. First, we import the necessary libraries: networkx and matplotlib.pyplot. these libraries provide us with functions and tools to create and visualize graphs. next, we create a graph object called g using the path graph () function from networkx.
Python3. import networkx as nx. import matplotlib.pyplot as plt. step 2 : generate a graph using networkx. step 3 : now use draw () function of networkx.drawing to draw the graph. step 4 : use savefig (“filename ”) function of matplotlib.pyplot to save the drawing of graph in filename file. below is the python code:. Examining elements of a graph #. we can examine the nodes and edges. four basic graph properties facilitate reporting: g.nodes, g.edges, g.adj and g.degree. these are set like views of the nodes, edges, neighbors (adjacencies), and degrees of nodes in a graph. they offer a continually updated read only view into the graph structure. To create an undirected graph, you can use the graph class: g = nx.graph() 3.2. adding nodes and edges. adding nodes and edges to the graph is straightforward using the add node() and add edge. Networkx has its own drawing module which provides multiple options for plotting. below we can find the visualization for some of the draw modules in the package. using any of them is fairly easy, as all you need to do is call the module and pass the g graph variable and the package does the rest.