📅 2023-09-11 — Session: Enhanced Graph Timing Experiment and Error Resolution
🕒 19:30–20:53
🏷️ Labels: Python, Graph Theory, Error Handling, Data Visualization, Programming
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the graph timing experiment by refining graph representations and resolving various Python errors related to graph methods.
Key Activities
- Developed comparative graph plotting for
EdgeSetandNeighSetusing Matplotlib. - Modified DataFrame to include sparsity and edges for better graph representation analysis.
- Implemented a graph data structure using an adjacency matrix.
- Updated a Python function to measure execution times across different graph representations.
- Corrected errors in graph methods, including TypeErrors and ValueErrors.
- Simplified method arguments in graph classes to improve flexibility.
- Resolved IndexError in graph initialization and variable overwriting in loops.
- Reorganized function arguments to prevent conflicts in the
timing_experimentfunction.
Achievements
- Successfully plotted comparative graphs and updated timing experiment functions.
- Resolved multiple errors, enhancing the robustness of graph methods.
Pending Tasks
- Further testing of the updated graph methods and timing experiments to ensure all edge cases are handled.
- Explore additional optimizations for graph initialization and method execution.