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49 lines
1.1 KiB
49 lines
1.1 KiB
from wordcloud import WordCloud, STOPWORDS
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from PIL import Image
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import numpy as np
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import matplotlib.pyplot as plt
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import jieba
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# 打开文件
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text = open("xinglang.txt", encoding="utf-8").read()
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# 中文分词
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text = ' '.join(jieba.cut(text))
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print(text[:100])
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# 停用词
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stopwords = STOPWORDS
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STOPWORDS.add("的")
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STOPWORDS.add("了")
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STOPWORDS.add("这")
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STOPWORDS.add("和")
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STOPWORDS.add("是")
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STOPWORDS.add("上")
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STOPWORDS.add("让")
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STOPWORDS.add("为")
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STOPWORDS.add("中")
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STOPWORDS.add("个")
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STOPWORDS.add("能")
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STOPWORDS.add("年")
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STOPWORDS.add("到")
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STOPWORDS.add("在")
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STOPWORDS.add("我")
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STOPWORDS.add("也")
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STOPWORDS.add("到")
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STOPWORDS.add("有")
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STOPWORDS.add("就")
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STOPWORDS.add("寻亲")
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# 生成对象
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# 使用蒙版图片
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mask = np.array(Image.open("zhihu.png")) # 使用蒙版图片
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wc = WordCloud(
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mask=mask,
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font_path="STKAITI.TTF",
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mode="RGBA",
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background_color=None,
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stopwords=STOPWORDS
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).generate(text)
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# 显示词云
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plt.imshow(wc, interpolation="bilinear")
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plt.axis("off")
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plt.show()
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# 保存文件
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wc.to_file("xinglang_wordcloud.png")
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