forked from UNN/2026-rff_mp
163 lines
6.2 KiB
Python
163 lines
6.2 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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import csv
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from typing import Dict, List
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import os
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plt.style.use('seaborn-v0_8-darkgrid')
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def load_results(filename: str = 'maze_experiment_results.csv') -> List[Dict]:
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if not os.path.exists(filename):
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print(f"Файл {filename} не найден! Сначала запустите main.py")
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return []
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with open(filename, 'r', encoding='utf-8') as f:
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reader = csv.DictReader(f)
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results = []
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for row in reader:
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row['time_ms'] = float(row['time_ms'])
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row['visited'] = int(float(row['visited']))
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row['path_length'] = int(float(row['path_length']))
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results.append(row)
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return results
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def organize_data(results: List[Dict]) -> Dict:
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data = {}
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for row in results:
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maze = row['maze']
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strategy = row['strategy'].split('(')[0].strip()
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if maze not in data:
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data[maze] = {}
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if strategy not in data[maze]:
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data[maze][strategy] = {'time_ms': [], 'visited': [], 'path_length': []}
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data[maze][strategy]['time_ms'].append(row['time_ms'])
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data[maze][strategy]['visited'].append(row['visited'])
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data[maze][strategy]['path_length'].append(row['path_length'])
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return data
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def create_main_chart(data: Dict, save_dir: str = 'charts'):
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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maze_names = list(data.keys())
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strategies = ['BFS', 'DFS', 'A*']
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colors = {'BFS': '#3498db', 'DFS': '#e74c3c', 'A*': '#2ecc71'}
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fig, axes = plt.subplots(1, 3, figsize=(16, 6))
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fig.suptitle('Сравнение алгоритмов поиска пути', fontsize=16, fontweight='bold')
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x = np.arange(len(maze_names))
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width = 0.25
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# График 1: Время
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for i, strat in enumerate(strategies):
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values = []
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for maze in maze_names:
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if strat in data[maze] and data[maze][strat]['time_ms']:
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values.append(np.mean(data[maze][strat]['time_ms']))
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else:
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values.append(0)
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bars = axes[0].bar(x + i * width, values, width, label=strat,
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color=colors[strat], edgecolor='black', linewidth=0.5)
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for bar, val in zip(bars, values):
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if val > 0:
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axes[0].text(bar.get_x() + bar.get_width()/2., bar.get_height(),
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f'{val:.1f}', ha='center', va='bottom', fontsize=7)
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axes[0].set_title('Время выполнения (мс)', fontweight='bold')
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axes[0].set_xticks(x + width)
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axes[0].set_xticklabels([n.split('(')[0].strip() for n in maze_names], rotation=15, fontsize=8)
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axes[0].legend(fontsize=8)
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# График 2: Посещённые клетки
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for i, strat in enumerate(strategies):
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values = []
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for maze in maze_names:
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if strat in data[maze] and data[maze][strat]['visited']:
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values.append(np.mean(data[maze][strat]['visited']))
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else:
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values.append(0)
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bars = axes[1].bar(x + i * width, values, width, label=strat,
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color=colors[strat], edgecolor='black', linewidth=0.5)
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for bar, val in zip(bars, values):
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if val > 0:
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axes[1].text(bar.get_x() + bar.get_width()/2., bar.get_height(),
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f'{int(val)}', ha='center', va='bottom', fontsize=7)
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axes[1].set_title('Посещённые клетки', fontweight='bold')
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axes[1].set_xticks(x + width)
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axes[1].set_xticklabels([n.split('(')[0].strip() for n in maze_names], rotation=15, fontsize=8)
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# График 3: Длина пути
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for i, strat in enumerate(strategies):
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values = []
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for maze in maze_names:
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if strat in data[maze] and data[maze][strat]['path_length']:
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values.append(np.mean(data[maze][strat]['path_length']))
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else:
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values.append(0)
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bars = axes[2].bar(x + i * width, values, width, label=strat,
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color=colors[strat], edgecolor='black', linewidth=0.5)
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for bar, val in zip(bars, values):
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if val > 0:
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axes[2].text(bar.get_x() + bar.get_width()/2., bar.get_height(),
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f'{int(val)}', ha='center', va='bottom', fontsize=7)
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axes[2].set_title('Длина пути (шагов)', fontweight='bold')
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axes[2].set_xticks(x + width)
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axes[2].set_xticklabels([n.split('(')[0].strip() for n in maze_names], rotation=15, fontsize=8)
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plt.tight_layout()
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filepath = os.path.join(save_dir, 'comparison_all_metrics.png')
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plt.savefig(filepath, dpi=150, bbox_inches='tight')
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plt.close()
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print(f" График сохранён: {filepath}")
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def print_table(data: Dict):
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print("\n" + "=" * 80)
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print("РЕЗУЛЬТАТЫ ТЕСТИРОВАНИЯ")
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print("=" * 80)
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for maze_name, strategies in data.items():
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print(f"\n{maze_name}")
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print("-" * 60)
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print(f"{'Алгоритм':<10} {'Время(мс)':<12} {'Посещено':<12} {'Длина пути':<12}")
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print("-" * 46)
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for strat in ['BFS', 'DFS', 'A*']:
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if strat in strategies and strategies[strat]['time_ms']:
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t = np.mean(strategies[strat]['time_ms'])
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v = np.mean(strategies[strat]['visited'])
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p = np.mean(strategies[strat]['path_length'])
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print(f"{strat:<10} {t:<12.2f} {int(v):<12} {int(p):<12}")
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def main():
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print("=" * 60)
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print("ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ")
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print("=" * 60)
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results = load_results('maze_experiment_results.csv')
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if not results:
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print("Нет данных. Запустите сначала main.py")
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return
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data = organize_data(results)
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print_table(data)
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# Один график
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print("\nСоздание графика...")
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create_main_chart(data)
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if __name__ == "__main__":
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main() |