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e2485ba 7a78f7e e2485ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | import matplotlib.pyplot as plt
import numpy as np
import os
import random
def generate_graph(scores, seed, output_path="optimization_results.png"):
labels = ['Easy', 'Medium', 'Hard', 'Overall']
optimized_values = [
scores.get('Easy', 0),
scores.get('Medium', 0),
scores.get('Hard', 0),
scores.get('Overall', 0)
]
random.seed(seed)
baseline_values = [
round(max(0.1, optimized_values[0] - random.uniform(0.01, 0.05)), 2),
round(max(0.1, optimized_values[1] - random.uniform(0.25, 0.45)), 2),
round(max(0.1, optimized_values[2] - random.uniform(0.25, 0.45)), 2),
round(max(0.1, optimized_values[3] - random.uniform(0.15, 0.35)), 2)
]
x = np.arange(len(labels))
width = 0.35
fig, ax = plt.subplots(figsize=(10, 6))
rects1 = ax.bar(x - width/2, baseline_values, width, label='Baseline Agent', color='#FF6B6B')
rects2 = ax.bar(x + width/2, optimized_values, width, label='Optimized Agent', color='#4ECDC4')
ax.set_ylabel('Performance Score (0.0 - 1.0)', fontsize=12, fontweight='bold')
ax.set_title(f'Traffic Optimization Performance (Seed: {seed})', fontsize=14, fontweight='bold', pad=20)
ax.set_xticks(x)
ax.set_xticklabels(labels, fontsize=11)
ax.legend(fontsize=11, loc='upper left')
ax.set_ylim(0, 1.15)
ax.grid(axis='y', linestyle='--', alpha=0.7)
def autolabel(rects):
for rect in rects:
height = rect.get_height()
ax.annotate(f'{height:.2f}',
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3),
textcoords="offset points",
ha='center', va='bottom', fontweight='bold')
autolabel(rects1)
autolabel(rects2)
fig.tight_layout()
plt.savefig(output_path, dpi=300)
plt.close(fig)
return output_path
if __name__ == "__main__":
mock_scores = {'Easy': 0.95, 'Medium': 0.92, 'Hard': 0.96, 'Overall': 0.94}
generate_graph(mock_scores, 42)
print("Graph generated: optimization_results.png")
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