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  • 编写python代码并运行
  • 展示词云结果
    • -

    1.安装wordcloud

    可以在cmd窗口输入

    install wordcloud matplotlib```
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    ![](http://jcjview.github.io/img/wordcloud001.png)


    ## 2.准备红楼梦文本

    文本可以用下面链接下载


    `https://github.com/flypythoncom/flypython/blob/master/wordcloud_hlm_seg.txt`

    或者可以自己写代码，对文本进行清洗，分词。
    这里需要安装jieba分词，`pip install jieba`
    ``` python
    import jieba
    import re

    special_character_removal = re.compile(r'[，。、【 】“”：；（）《》‘’{}？！⑦%>℃.^-——=&#@￥『』]', re.IGNORECASE)

    fw=open("hlm_seg.txt","w",encoding="utf-8")

    with open('hlm.txt',encoding="utf-8") as fp:
        for line in fp:
            l = special_character_removal.sub('', line.strip())
            words=jieba.cut(l)
            t=" ".join(words)
            fw.write(t)
            fw.write("\n")
     
    fw.close()

    -

    3. 编写词云python代码并运行

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    from os import path  
    from wordcloud import WordCloud

    d = path.dirname(__file__)  
    # Read the whole text.  
    text = open(path.join(d, 'hlm_seg.txt'),encoding="utf-8").read()  
    # Generate a word cloud image  
    # font=path.join(d, "simkai.ttf")  
    font='C:/Windows/Fonts/simkai.ttf'  
    wordcloud = WordCloud(font_path=font,#设置中文字体，不指定就会出现中文不显示  
      width=1024,#宽  
      height=840,#高  
      background_color='white',#设置背景色   
      # max_words=100,#最大词汇数  
      # max_font_size=100#最大号字体  
      ).generate(text)  
      
    # Display the generated image:  
    # the matplotlib way:  
    import matplotlib.pyplot as plt  
      
    plt.figure()  
    plt.imshow(wordcloud)  
    plt.axis("off")  
    plt.show()
    +

    1.安装wordcloud

    可以在cmd窗口输入

    +

    pip install wordcloud matplotlib

    +

    +

    2.准备红楼梦文本

    文本可以用下面链接下载

    +

    https://github.com/flypythoncom/flypython/blob/master/wordcloud_hlm_seg.txt

    +

    或者可以自己写代码，对文本进行清洗，分词。
    这里需要安装jieba分词，pip install jieba

    +
    import jieba
+import re
 
-
    结果：
    
+special_character_removal = re.compile(r'[，。、【 】“”：；（）《》‘’{}？！⑦%>℃.^-——=&#@￥『』]', re.IGNORECASE)
+
+fw=open("hlm_seg.txt","w",encoding="utf-8")
+
+with open('hlm.txt',encoding="utf-8") as fp:
+    for line in fp:
+        l = special_character_removal.sub('', line.strip())
+        words=jieba.cut(l)
+        t=" ".join(words)
+        fw.write(t)
+        fw.write("\n")
+fw.close()

    3. 编写词云python代码并运行

    from os import path  
+from wordcloud import WordCloud
+
+d = path.dirname(__file__)  
+# Read the whole text.  
+text = open(path.join(d, 'hlm_seg.txt'),encoding="utf-8").read()  
+# Generate a word cloud image  
+# font=path.join(d, "simkai.ttf")  
+font='C:/Windows/Fonts/simkai.ttf'  
+wordcloud = WordCloud(font_path=font,#设置中文字体，不指定就会出现中文不显示  
+  width=1024,#宽  
+  height=840,#高  
+  background_color='white',#设置背景色   
+  # max_words=100,#最大词汇数  
+  # max_font_size=100#最大号字体  
+  ).generate(text)  
+
+# Display the generated image:  
+# the matplotlib way:  
+import matplotlib.pyplot as plt  
+
+plt.figure()  
+plt.imshow(wordcloud)  
+plt.axis("off")  
+plt.show()

    结果：

    词云运行结果

    后台回复“词云”获得完整运行代码

    人生苦短，我用python早下班。如果觉得不错，对你工作中有帮助，请加我微信公众号flypython，我们一起探讨python相关问题

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