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How to use an update function to animate a NetworkX graph in Matplotlib?
To use an update function to animate a NetworkX graph in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure using figure() method.
- Initialize a graph with edges, name, and graph attributes.
- Add nodes to the graph using add_nodes_from() method.
- Draw the graph G with Matplotlib.
- Use FuncAnimation() class to make an animation by repeatedly calling a function, animate.
- Function animate clears the current figure, generate two random numbers, and draws the edges between them.
- To display the figure, use show() method.
Example
from matplotlib import pyplot as plt, animation import networkx as nx import random plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() G = nx.DiGraph() G.add_nodes_from([0, 1, 2, 3, 4]) nx.draw(G, with_labels=True) def animate(frame): fig.clear() num1 = random.randint(0, 4) num2 = random.randint(0, 4) G.add_edges_from([(num1, num2)]) nx.draw(G, with_labels=True) ani = animation.FuncAnimation(fig, animate, frames=6, interval=1000, repeat=True) plt.show()
Output
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