How to Create a Network Graph in Python for Economic Analysis?

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To create a network graph in Python for economic analysis, you can use the networkx library, which is a powerful tool for creating and analyzing complex networks. Here’s an example of how to create a basic network graph using networkx:

import networkx as nx
import matplotlib.pyplot as plt

# Create a graph object
G = nx.Graph()

# Add nodes to the graph
G.add_nodes_from(['A', 'B', 'C', 'D'])

# Add edges to the graph
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'D')])

# Draw the graph
nx.draw(G, with_labels=True)
plt.show()

In this example, we first import networkx and matplotlib.pyplot. Then we create a new Graph object called G. We add four nodes to the graph, labeled A, B, C, and D. We also add four edges to the graph, connecting A to B and C, B to D, and C to D. Finally, we draw the graph using the nx.draw() function and display it using plt.show().

You can customize the appearance of the graph by passing additional arguments to the nx.draw() function. For example, you can change the node color and size, the edge color and width, and the layout of the graph. The networkx documentation provides a comprehensive list of options for customizing your network graphs.

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