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@ -126,7 +126,6 @@ for page in range(1,8):
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ai_list = []
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ai_list = []
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most_common_barrages = []
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most_common_barrages = []
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with open('弹幕.txt', 'r', encoding='utf-8') as file:
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with open('弹幕.txt', 'r', encoding='utf-8') as file:
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content_txt = file.readlines()
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content_txt = file.readlines()
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for barrage in content_txt:
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for barrage in content_txt:
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@ -141,17 +140,14 @@ ai_list1 = counter.most_common()
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# 输出结果
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# 输出结果
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for barrage, count in most_common_barrages:
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for barrage, count in most_common_barrages:
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print(f'弹幕: {barrage} 出现次数: {count}')
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print(f'弹幕: {barrage} 出现次数: {count}')
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df = pd.DataFrame(ai_list1, columns=['弹幕', '出现次数'])
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df = pd.DataFrame(ai_list1, columns=['弹幕', '出现次数'])
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# 写入Excel文件
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# 写入Excel文件
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excel_path = '弹幕统计.xlsx'
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excel_path = '弹幕统计.xlsx'
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df.to_excel(excel_path, index=False, engine='openpyxl')
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df.to_excel(excel_path, index=False, engine='openpyxl')
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wb = load_workbook(excel_path)
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wb = load_workbook(excel_path)
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ws = wb.active
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ws = wb.active
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ws.column_dimensions['A'].width = 60
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ws.column_dimensions['A'].width = 60
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wb.save(excel_path)
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wb.save(excel_path)
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ai_str = '\n'.join(ai_list) #分割成字符型
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ai_str = '\n'.join(ai_list) #分割成字符型
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# 创建词云图
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#create_wordcloud(ai_danmakus)
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