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48 lines
1.7 KiB
48 lines
1.7 KiB
from wordcloud import WordCloud, STOPWORDS
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import matplotlib.pyplot as plt
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# 读取弹幕文件
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with open("弹幕.txt", "r", encoding="utf-8") as file:
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all_danmaku = file.readlines()
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# 去除空白字符，并合并成一个长字符串
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danmaku_text = ''.join(all_danmaku).replace('\n', '')
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# 定义一个函数来生成和美化词云图
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def generate_wordcloud(text, font_path='msyh.ttc'):
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# 定义词云的配置参数
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config = {
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'font_path': font_path, # 字体路径
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'width': 800, # 宽度
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'height': 600, # 高度
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'background_color': 'white', # 背景颜色
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'max_words': 200, # 最大显示的词数
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'max_font_size': 100, # 最大字体大小
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'min_font_size': 10, # 最小字体大小
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}
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# 创建词云对象
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wordcloud = WordCloud(
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font_path=config['font_path'],
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width=config['width'],
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height=config['height'],
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background_color=config['background_color'],
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max_words=config['max_words'],
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max_font_size=config['max_font_size'],
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min_font_size=config['min_font_size'],
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stopwords=STOPWORDS.union({"随着", "但是", "一个"}), # 添加自定义停用词
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).generate(text)
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# 显示词云图
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plt.figure(figsize=(10, 8))
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plt.imshow(wordcloud, interpolation="bilinear")
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plt.axis("off")
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plt.show()
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# 保存词云图到文件，并指定新的文件名
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new_filename = "customized_danmaku_wordcloud.png"
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wordcloud.to_file(new_filename)
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print(f"词云图已保存为：{new_filename}")
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# 调用函数生成词云图
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generate_wordcloud(danmaku_text, font_path='C:\\Windows\\Fonts\\msyh.ttc') |