47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
"""Plot global speed variance curves from exported evaluation CSV files."""
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import os
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import matplotlib
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import matplotlib.pyplot as plt
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import pandas as pd
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matplotlib.use("Agg")
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OUTPUT_DIR = "evaluation_results"
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MODEL_LABELS = ["PPO", "APPO", "DQN", "No Control"]
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MODEL_FILE_ALIASES = {
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"PPO": ["PPO"],
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"APPO": ["APPO"],
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"DQN": ["DQN"],
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"No Control": ["No Control"],
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}
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def resolve_csv_path(model_label: str) -> str:
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for file_stem in MODEL_FILE_ALIASES[model_label]:
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candidate = os.path.join(OUTPUT_DIR, f"{file_stem}_speed.csv")
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if os.path.isfile(candidate):
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return candidate
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raise FileNotFoundError(f"Missing speed CSV for {model_label} under {OUTPUT_DIR}")
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fig, ax = plt.subplots(figsize=(12, 6))
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for model_label in MODEL_LABELS:
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csv_path = resolve_csv_path(model_label)
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df = pd.read_csv(csv_path)
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variances = df.var(axis=1)
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ax.plot(variances, label=model_label, alpha=0.8, linewidth=1.5)
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ax.set_xlabel("Time Step", fontsize=12)
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ax.set_ylabel("Speed Variance (km/h)^2", fontsize=12)
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ax.set_title("Global Speed Variance Over Time", fontsize=14)
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ax.legend(fontsize=11)
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ax.grid(True, alpha=0.3)
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plt.tight_layout()
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plt.savefig(os.path.join(OUTPUT_DIR, "global_speed_variance.png"), dpi=150)
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plt.close()
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print(f"Saved global speed variance plot to {OUTPUT_DIR}/global_speed_variance.png")
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