| import matplotlib.pyplot as plt |
| import numpy as np |
|
|
| def plot_phi(all_agents_history, filename=None): |
| plt.figure(figsize=(10, 6)) |
| for i, agent_history in enumerate(all_agents_history): |
| plt.plot(agent_history['phi'], label=f'Agent {i+1} Phi') |
| plt.xlabel('Step') |
| plt.ylabel('Phi') |
| plt.title('Agent Phi Over Time') |
| plt.legend() |
| plt.grid(True) |
| if filename is not None: |
| plt.savefig(filename, dpi=300, bbox_inches='tight') |
| plt.close() |
|
|
| def plot_tau(all_agents_history, filename=None): |
| plt.figure(figsize=(10, 6)) |
| for i, agent_history in enumerate(all_agents_history): |
| plt.plot(agent_history['tau_eff'], label=f'Agent {i+1} Tau Eff') |
| plt.xlabel('Step') |
| plt.ylabel('Tau Effective') |
| plt.title('Agent Tau Effective Over Time') |
| plt.legend() |
| plt.grid(True) |
| if filename is not None: |
| plt.savefig(filename, dpi=300, bbox_inches='tight') |
| plt.close() |
|
|
| def plot_fitness(all_agents_history, filename=None): |
| plt.figure(figsize=(10, 6)) |
| for i, agent_history in enumerate(all_agents_history): |
| plt.plot(agent_history['fitness'], label=f'Agent {i+1} Fitness') |
| plt.xlabel('Step') |
| plt.ylabel('Fitness') |
| plt.title('Agent Fitness Over Time') |
| plt.legend() |
| plt.grid(True) |
| if filename is not None: |
| plt.savefig(filename, dpi=300, bbox_inches='tight') |
| plt.close() |
|
|
| def plot_coherence(coherence_list, filename=None): |
| plt.figure(figsize=(10, 6)) |
| plt.plot(coherence_list) |
| plt.xlabel('Step') |
| plt.ylabel('Average Phi') |
| plt.title('System Coherence Over Time (Average Phi)') |
| plt.grid(True) |
| if filename is not None: |
| plt.savefig(filename, dpi=300, bbox_inches='tight') |
| plt.close() |
|
|
| def plot_stability(stability_list, filename=None): |
| plt.figure(figsize=(10, 6)) |
| plt.plot(stability_list) |
| plt.xlabel('Step') |
| plt.ylabel('Variance of Phi') |
| plt.title('System Stability Over Time (Variance of Phi)') |
| plt.grid(True) |
| if filename is not None: |
| plt.savefig(filename, dpi=300, bbox_inches='tight') |
| plt.close() |
|
|
| print("visualization.py updated successfully.") |
|
|
