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<li>编写python代码并运行</li>
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<li>展示词云结果</li>
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</ol>
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<h2 id="1-安装wordcloud"><a href="#1-安装wordcloud" class="headerlink" title="1.安装wordcloud"></a>1.安装wordcloud</h2><p>可以在cmd窗口输入<figure class="highlight plain"><figcaption><span>install wordcloud matplotlib```</span></figcaption><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br></pre></td><td class="code"><pre><span class="line"></span><br><span class="line">![](http://jcjview.github.io/img/wordcloud001.png)</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">## 2.准备红楼梦文本</span><br><span class="line"></span><br><span class="line">文本可以用下面链接下载</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">`https://github.com/flypythoncom/flypython/blob/master/wordcloud_hlm_seg.txt`</span><br><span class="line"></span><br><span class="line">或者可以自己写代码，对文本进行清洗，分词。</span><br><span class="line">这里需要安装jieba分词，`pip install jieba`</span><br><span class="line">``` python</span><br><span class="line">import jieba</span><br><span class="line">import re</span><br><span class="line"></span><br><span class="line">special_character_removal = re.compile(r&apos;[，。、【 】“”：；（）《》‘’&#123;&#125;？！⑦%&gt;℃.^-——=&amp;#@￥『』]&apos;, re.IGNORECASE)</span><br><span class="line"></span><br><span class="line">fw=open(&quot;hlm_seg.txt&quot;,&quot;w&quot;,encoding=&quot;utf-8&quot;)</span><br><span class="line"></span><br><span class="line">with open(&apos;hlm.txt&apos;,encoding=&quot;utf-8&quot;) as fp:</span><br><span class="line"> for line in fp:</span><br><span class="line"> l = special_character_removal.sub(&apos;&apos;, line.strip())</span><br><span class="line"> words=jieba.cut(l)</span><br><span class="line"> t=&quot; &quot;.join(words)</span><br><span class="line"> fw.write(t)</span><br><span class="line"> fw.write(&quot;\n&quot;)</span><br><span class="line"> </span><br><span class="line">fw.close()</span><br></pre></td></tr></table></figure></p>
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<h2 id="3-编写词云python代码并运行"><a href="#3-编写词云python代码并运行" class="headerlink" title="3. 编写词云python代码并运行"></a>3. 编写词云python代码并运行</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">from</span> os <span class="keyword">import</span> path </span><br><span class="line"><span class="keyword">from</span> wordcloud <span class="keyword">import</span> WordCloud</span><br><span class="line"></span><br><span class="line">d = path.dirname(__file__) </span><br><span class="line"><span class="comment"># Read the whole text. </span></span><br><span class="line">text = open(path.join(d, <span class="string">'hlm_seg.txt'</span>),encoding=<span class="string">"utf-8"</span>).read() </span><br><span class="line"><span class="comment"># Generate a word cloud image </span></span><br><span class="line"><span class="comment"># font=path.join(d, "simkai.ttf") </span></span><br><span class="line">font=<span class="string">'C:/Windows/Fonts/simkai.ttf'</span> </span><br><span class="line">wordcloud = WordCloud(font_path=font,<span class="comment">#设置中文字体，不指定就会出现中文不显示 </span></span><br><span class="line"> width=<span class="number">1024</span>,<span class="comment">#宽 </span></span><br><span class="line"> height=<span class="number">840</span>,<span class="comment">#高 </span></span><br><span class="line"> background_color=<span class="string">'white'</span>,<span class="comment">#设置背景色 </span></span><br><span class="line"> <span class="comment"># max_words=100,#最大词汇数 </span></span><br><span class="line"> <span class="comment"># max_font_size=100#最大号字体 </span></span><br><span class="line"> ).generate(text) </span><br><span class="line"> </span><br><span class="line"><span class="comment"># Display the generated image: </span></span><br><span class="line"><span class="comment"># the matplotlib way: </span></span><br><span class="line"><span class="keyword">import</span> matplotlib.pyplot <span class="keyword">as</span> plt </span><br><span class="line"> </span><br><span class="line">plt.figure() </span><br><span class="line">plt.imshow(wordcloud) </span><br><span class="line">plt.axis(<span class="string">"off"</span>) </span><br><span class="line">plt.show()</span><br></pre></td></tr></table></figure>
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<h2 id="1-安装wordcloud"><a href="#1-安装wordcloud" class="headerlink" title="1.安装wordcloud"></a>1.安装wordcloud</h2><p>可以在cmd窗口输入</p>
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<p><code>pip install wordcloud matplotlib</code></p>
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<p><img src="http://jcjview.github.io/img/wordcloud001.png" alt></p>
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<h2 id="2-准备红楼梦文本"><a href="#2-准备红楼梦文本" class="headerlink" title="2.准备红楼梦文本"></a>2.准备红楼梦文本</h2><p>文本可以用下面链接下载</p>
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<p><code>https://github.com/flypythoncom/flypython/blob/master/wordcloud_hlm_seg.txt</code></p>
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<p>或者可以自己写代码，对文本进行清洗，分词。<br>这里需要安装jieba分词，<code>pip install jieba</code></p>
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<pre><code>import jieba
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fw=open(&quot;hlm_seg.txt&quot;,&quot;w&quot;,encoding=&quot;utf-8&quot;)
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t=&quot; &quot;.join(words)
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fw.close()</code></pre><h2 id="3-编写词云python代码并运行"><a href="#3-编写词云python代码并运行" class="headerlink" title="3. 编写词云python代码并运行"></a>3. 编写词云python代码并运行</h2><pre><code>from os import path
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width=1024,#宽
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height=840,#高
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).generate(text)
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# the matplotlib way:
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plt.figure()
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plt.axis(&quot;off&quot;)
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plt.show()</code></pre><p>结果：</p>
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<p><img src="http://jcjview.github.io/img/Figure_1.png" alt="词云运行结果"></p>
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<p>后台回复“词云”获得完整运行代码</p>
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<p><em>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</em></p>
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<link rel="stylesheet" href="/css/gitalk.css">
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<!-- Global site tag (gtag.js) - Google Analytics -->
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<script async src="https://www.googletagmanager.com/gtag/js?id=UA-147288599-1"></script>
@@ -153,22 +151,5 @@ <h2 id="1-安装xlwt"><a href="#1-安装xlwt" class="headerlink" title="1.安装
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</section>
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<script src="/js/f25.js"></script>
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<script src="/js/gitalk.min.js"></script>
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<script>
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var gitalkAdmin = 'xxg1413'.split(',');
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var gitalk = new Gitalk({
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clientID: 'd0e566bfc45c0b852c6c',
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clientSecret: '6b69b3a841c85a6223e5a904c47f5e2d84322980',
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repo: 'gitalk',
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owner: 'flypythoncom',
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admin: gitalkAdmin,
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id: location.pathname.length > 50 ? location.pathname.substr(0,50) : location.pathname, // Ensure uniqueness and length less than 50
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distractionFreeMode: false // Facebook-like distraction free mode
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});
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gitalk.render('gitalk-container');
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</script>
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</body>
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</html>

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