create transaction network diagram in python

To create a transaction network diagram in Python, we can use the NetworkX library for handling the graph and Matplotlib for the visualization. Here is an example code snippet that generates a transaction network diagram:


main.py
import networkx as nx
import matplotlib.pyplot as plt

# Create an empty directed graph
G = nx.DiGraph()

# Add nodes representing transactions to the graph
tx_nodes = ['Tx{}'.format(i) for i in range(1, 6)]
G.add_nodes_from(tx_nodes)

# Add nodes representing users to the graph
user_nodes = ['User{}'.format(i) for i in range(1, 4)]
G.add_nodes_from(user_nodes)

# Add edges representing transactions between users
G.add_edge('User1', 'Tx1')
G.add_edge('Tx1', 'User2')
G.add_edge('User2', 'Tx2')
G.add_edge('Tx3', 'User2')
G.add_edge('User2', 'Tx4')
G.add_edge('Tx4', 'User3')
G.add_edge('User3', 'Tx5')

# Set the layout of the graph
pos = nx.spring_layout(G)

# Draw the graph with labels
nx.draw_networkx(G, pos, with_labels=True)

# Show the plot
plt.show()
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This code generates a directed graph with nodes representing transactions and users, and edges representing transactions between users. The spring_layout function sets the layout of the graph using a spring-electric model, and draw_networkx draws the graph with labels.

With this example, you can modify the code to create transactions and users according to your data set and generate a customized transaction network diagram.

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