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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