Tools for Generating Python Call Graphs
This article explores tools like Pyan, Pycallgraph, and NetworkX with Matplotlib for visualizing function call relationships in Python programs, including code examples and implementation methods.
Pyan is a tool that analyzes Python code to generate call graphs in DOT format, which can be converted to images using Graphviz. Example usage includes running pyan my_program.py --dot > call_graph.dot .
Pycallgraph is a library that captures function call relationships during program execution and outputs Graphviz diagrams. It requires decorating code with with PyCallGraph(output=GraphvizOutput()) to visualize call flows.
NetworkX combined with Matplotlib allows manual creation of call graphs by defining edges between functions. A sample script initializes a directed graph, adds edges like G.add_edge('function1', 'function2') , and renders the graph using nx.draw_networkx() .
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