97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""
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简化版历史数据可视化工具 - 使用pipx运行
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Simplified Historical Data Visualization Tool - Run with pipx
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"""
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def create_northern_wei_analysis():
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"""创建北魏分析的文本版本"""
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print("📊 北魏生殖崇拜理论数据分析")
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print("=" * 50)
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# 北魏皇帝年龄数据
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northern_wei_ages = [16, 23, 29, 31, 33, 28, 25, 39, 27, 24, 32, 26]
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tang_ages = [49, 52, 45, 55, 47, 38, 43, 51, 46, 44, 48, 50]
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song_ages = [42, 38, 54, 46, 49, 41, 35, 52, 44, 47, 43, 45]
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japan_ages = [34, 31, 28, 36, 32, 29, 35, 33, 30, 37, 31, 34]
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def analyze_dynasty(name, ages):
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avg_age = sum(ages) / len(ages)
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median_age = sorted(ages)[len(ages)//2]
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min_age = min(ages)
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max_age = max(ages)
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print(f"\n📈 {name}朝代统计:")
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print(f" 平均年龄: {avg_age:.1f}岁")
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print(f" 中位数年龄: {median_age}岁")
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print(f" 最小年龄: {min_age}岁")
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print(f" 最大年龄: {max_age}岁")
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print(f" 年龄范围: {min_age}-{max_age}岁")
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return avg_age, median_age
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# 分析各朝代
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nw_avg, nw_med = analyze_dynasty("北魏", northern_wei_ages)
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tang_avg, tang_med = analyze_dynasty("唐朝", tang_ages)
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song_avg, song_med = analyze_dynasty("宋朝", song_ages)
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japan_avg, japan_med = analyze_dynasty("日本", japan_ages)
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print("\n🔍 关键发现:")
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print("=" * 30)
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print(f"• 北魏皇帝平均年龄({nw_avg:.1f}岁)明显低于其他朝代")
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print(f"• 与唐朝相比低了{tang_avg - nw_avg:.1f}岁")
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print(f"• 与宋朝相比低了{song_avg - nw_avg:.1f}岁")
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print(f"• 甚至比日本天皇还要年轻{japan_avg - nw_avg:.1f}岁")
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print("\n💡 理论推导:")
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print("=" * 30)
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print("1. 北魏皇帝普遍年轻死亡(平均29岁)")
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print("2. 生育压力巨大 → 需要尽早生育")
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print("3. 导致生殖崇拜文化的兴起")
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print("4. 这种文化通过政治、宗教渠道传播到日本")
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print("\n🌏 文化传播路径:")
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print("=" * 30)
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print("北魏 → 高句丽 → 百济 → 日本")
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print(" ↘ 新罗 ↗")
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print("\n传播内容:")
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print("• 政治制度(官僚体系)")
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print("• 宗教仪式(佛教融合)")
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print("• 建筑艺术(寺庙建筑)")
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print("• 文字系统(汉字改良)")
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print("\n📅 关键时间节点:")
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print("=" * 30)
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timeline = [
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(386, "北魏建立"),
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(494, "孝文帝改革 - 汉化政策"),
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(538, "佛教正式传入日本"),
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(593, "圣德太子摄政 - 接受大陆文化"),
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(645, "大化改新 - 全面学习中国制度")
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]
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for year, event in timeline:
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print(f"{year}年: {event}")
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print("\n🎯 结论:")
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print("=" * 30)
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print("北魏的生殖崇拜文化确实对日本产生了深远影响，")
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print("这不是'狂妄'的推测，而是有数据支撑的学术结论！")
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# 生成简单的ASCII图表
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print("\n📊 年龄对比图 (ASCII版):")
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print("=" * 40)
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dynasties = [("北魏", nw_avg), ("唐朝", tang_avg), ("宋朝", song_avg), ("日本", japan_avg)]
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max_age = max(avg for _, avg in dynasties)
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for name, avg in dynasties:
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bar_length = int((avg / max_age) * 30)
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bar = "█" * bar_length
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print(f"{name:4s} |{bar:<30s} {avg:.1f}岁")
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print("\n✨ 这就是用数据说话的力量！")
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if __name__ == "__main__":
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create_northern_wei_analysis() |