32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
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import pandas as pd
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file_new = r'/root/.openclaw/workspace-xiaoyan/business_knowledge/L2单词表/L2新版_L1重复标记.xlsx'
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file_old = r'/root/.openclaw/workspace-xiaoyan/business_knowledge/L2单词表/L2知识库-三级+A2.xlsx'
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df_new = pd.read_excel(file_new)
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df_old = pd.read_excel(file_old)
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old_words = set(str(w).strip().lower() for w in df_old.iloc[:, 0])
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only_in_new = []
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for idx, row in df_new.iterrows():
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word = str(row['单词']).strip().lower()
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if word not in old_words:
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only_in_new.append(row)
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print(f"L2新版总单词数: {len(df_new)}")
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print(f"L2知识库总单词数: {len(df_old)}")
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print(f"\nL2新版中存在但L2知识库中不存在的单词: {len(only_in_new)} 个")
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# 保存到文件
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with open('/root/.openclaw/workspace-xiaoyan/only_in_new.txt', 'w', encoding='utf-8') as f:
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f.write(f"L2新版中存在但L2知识库中不存在的单词: {len(only_in_new)} 个\n")
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f.write("=" * 60 + "\n")
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f.write(f"{'序号':<5} {'单词':<35} {'词性':<12} {'词义'}\n")
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f.write("-" * 80 + "\n")
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for i, row in enumerate(only_in_new, 1):
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f.write(f"{i:<5} {str(row['单词']):<35} {str(row['词性']):<12} {str(row['词义'])}\n")
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print("\n完整列表已保存到 only_in_new.txt")
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