43 lines
1.9 KiB
Python
43 lines
1.9 KiB
Python
import pandas as pd
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# 文件路径
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final_lib_file = "/root/.openclaw/media/inbound/â_¼ï_LV1-å_ç_å_è_åº_-ç¼_å_é_è_ç_è_é---1de9de11-1a6b-45c7-856a-4d69f9b26aa9.xlsx" # 第一份：定稿单词库（仅单词列表）
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difficulty_file = "/root/.openclaw/media/inbound/é_¾åº_æ_æ_å_è_ç³_æ_1.0---a5011ea1-5bef-47af-be44-633db83f822e.xlsx" # 第二份：难度表
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output_file = "/root/.openclaw/workspace-xiaoban/最新定稿版单词上下册分类结果.xlsx"
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# 读取两个表格
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df_final = pd.read_excel(final_lib_file)
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df_diff = pd.read_excel(difficulty_file)
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# 提取定稿单词列表，去空值，去重
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final_words = df_final['单词'].dropna().unique().tolist()
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total = len(final_words)
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print(f"定稿单词库总有效不重复单词数：{total}")
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# 按照定稿库顺序：前一半上册，后一半下册
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upper_words = set(final_words[:total//2])
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lower_words = set(final_words[total//2:])
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print(f"上册单词数：{len(upper_words)}")
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print(f"下册单词数：{len(lower_words)}")
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# 分类难度表单词匹配分类
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df_diff['分类'] = df_diff['单词'].apply(lambda x: '上册' if x in upper_words else '下册' if x in lower_words else '未匹配')
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# 拆分结果
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df_upper = df_diff[df_diff['分类'] == '上册'].drop(columns=['分类'])
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df_lower = df_diff[df_diff['分类'] == '下册'].drop(columns=['分类'])
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df_other = df_diff[df_diff['分类'] == '未匹配'].drop(columns=['分类'])
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# 写入结果
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with pd.ExcelWriter(output_file, engine='openpyxl') as writer:
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df_upper.to_excel(writer, sheet_name='上册单词', index=False)
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df_lower.to_excel(writer, sheet_name='下册单词', index=False)
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if len(df_other) >0:
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df_other.to_excel(writer, sheet_name='未匹配单词', index=False)
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print(f"\n处理完成！结果已保存到：{output_file}")
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print(f"上册匹配到单词数：{len(df_upper)}")
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print(f"下册匹配到单词数：{len(df_lower)}")
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print(f"未匹配到单词数：{len(df_other)}")
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