forked from UNN/2026-rff_mp
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
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import pandas as pd
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import matplotlib.pyplot as plt
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import os
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def main():
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csv_file = 'experiment_results_2-nd-exercise.csv'
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if not os.path.exists(csv_file):
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print(f"File {csv_file} not found. Run experiments first.")
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return
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df = pd.read_csv(csv_file)
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df_success = df[df['path_found'] == True]
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mazes = df_success['maze'].unique()
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strategies = df_success['strategy'].unique()
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fig, axes = plt.subplots(1, 3, figsize=(18, 6))
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fig.suptitle('Сравнение алгоритмов поиска в лабиринтах', fontsize=16)
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for strat in strategies:
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data = df_success[df_success['strategy'] == strat]
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axes[0].plot(data['maze'], data['avg_time_ms'], marker='o', label=strat)
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axes[0].set_title('Среднее время (мс)')
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axes[0].set_xlabel('Лабиринт')
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axes[0].set_ylabel('Время, мс')
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axes[0].legend()
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axes[0].grid(True)
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for strat in strategies:
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data = df_success[df_success['strategy'] == strat]
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axes[1].plot(data['maze'], data['avg_visited'], marker='s', label=strat)
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axes[1].set_title('Посещённые клетки')
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axes[1].set_xlabel('Лабиринт')
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axes[1].set_ylabel('Количество')
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axes[1].legend()
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axes[1].grid(True)
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for strat in strategies:
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data = df_success[df_success['strategy'] == strat]
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axes[2].plot(data['maze'], data['avg_path_length'], marker='^', label=strat)
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axes[2].set_title('Длина пути')
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axes[2].set_xlabel('Лабиринт')
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axes[2].set_ylabel('Шагов')
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axes[2].legend()
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axes[2].grid(True)
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plt.tight_layout()
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plt.savefig('plots_2-nd-exercise.png', dpi=150)
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print("Графики сохранены в plots_2-nd-exercise.png")
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#plt.show()
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if __name__ == '__main__':
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main()
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