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43 lines
1.5 KiB
43 lines
1.5 KiB
2 months ago
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import pandas as pd
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import jieba
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from collections import Counter
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def read_excel_and_count_words(file_path, sheet_name='Sheet1', column_name='内容'):
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"""读取指定的 Excel 文件并进行词频统计"""
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# 1. 读取 Excel 文件的指定表格和列
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df = pd.read_excel(file_path, sheet_name=sheet_name)
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if column_name not in df.columns:
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print(f"列名 '{column_name}' 在 Excel 文件中未找到。")
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return
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# 2. 获取指定列的文本内容
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report = ' '.join(df[column_name].astype(str).tolist()) # 将所有行合并为一个字符串
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# 3. 进行分词
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words = jieba.cut(report)
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# 4. 按指定长度提取词
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report_words = [word for word in words if len(word) >= 3]
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# 5. 统计高频词汇
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result = Counter(report_words).most_common(50)
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# 6. 输出结果
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print("高频词汇统计结果：")
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for word, count in result:
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print(f"{word}: {count}")
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# 7. 保存高频词及其频率至高频词.xlsx
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result_df = pd.DataFrame(result, columns=['词汇', '频率']) # 创建 DataFrame
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result_df.to_excel('高频词.xlsx', index=False, sheet_name='高频词汇') # 保存到 Excel 文件
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if __name__ == '__main__':
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file_path = '合并弹幕.xlsx' # 替换为你的 Excel 文件路径
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sheet_name = 'MergedData' # 替换为你需要的工作表名称
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column_name = '弹幕文本' # 替换为你的文本内容所在的列名
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read_excel_and_count_words(file_path, sheet_name, column_name)
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