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.py764 chars32 lines
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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