Plot colored node graph with networkx in Python
Networkx:
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. URL: https://networkx.github.io/
Code:
import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
color_map = ['blue','green','red']
G.add_nodes_from([1,10])
G.add_edge(1,2)
G.add_edge(1,3)
G.add_edge(4,3)
G.add_edge(5,3)
G.add_edge(6,8)
G.add_edge(7,9)
G.add_edge(8,7)
G.add_edge(9,6)
G.add_edge(10,5)
G.add_edge(1,4)
nx.draw(G,node_color = color_map,with_labels = True)
plt.show()
Output:
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. URL: https://networkx.github.io/
Code:
import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
color_map = ['blue','green','red']
G.add_nodes_from([1,10])
G.add_edge(1,2)
G.add_edge(1,3)
G.add_edge(4,3)
G.add_edge(5,3)
G.add_edge(6,8)
G.add_edge(7,9)
G.add_edge(8,7)
G.add_edge(9,6)
G.add_edge(10,5)
G.add_edge(1,4)
nx.draw(G,node_color = color_map,with_labels = True)
plt.show()
Output:
This example draws a colored node graph in Python with NetworkX and Matplotlib. NetworkX builds and analyzes graphs, and a color map assigns a color to each node before drawing.
Visualizing a graph helps you see structure such as clusters and hubs. NetworkX also offers many algorithms for paths, centrality, and connectivity on the same graph object.
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