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42 lines
1.0 KiB
42 lines
1.0 KiB
3 months ago
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import jieba
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import wordcloud
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import imageio
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import pandas as pd # 用于读取Excel文件
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# 读取图片作为词云的形状
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img = imageio.imread('四叶草1.png')
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# 使用pandas读取Excel文件中的所有列
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df = pd.read_excel('top_ai_danmakus.xlsx')
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# 将Excel所有列的数据拼接成一个长字符串
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book = ''
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# 遍历每一列并将内容合并成字符串
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for column in df.columns:
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# 将当前列转换为字符串并拼接到 book 变量
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book += ' '.join(df[column].astype(str)) + ' '
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# 使用jieba进行分词
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book_list = jieba.lcut(book)
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book_str = ' '.join(book_list)
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# 打印分词后的字符串
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print(book_str)
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# 创建词云
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wc = wordcloud.WordCloud(
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width=500,
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height=500,
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background_color='white',
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mask=img,
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stopwords={'main','Taipei','afraid','aiden','Britain'}, # 可添加不需要的停用词
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font_path='msyh.ttc' # 设置中文字体路径
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)
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# 生成词云
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wc.generate(book_str)
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# 保存词云图
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wc.to_file('词云图.png')
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