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<h2 class="wrapper title">Python正则15分钟入门</h2>
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<span>Author</span><span>flypython</span> | <span>Date: </span><span>2019-02-03</span> | <span>Category</span><span><a href="/fly/Python入门/" title="Python入门">Python入门</a></span>
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<p>flypython群里有同学问我如何从大量格式不确定的word文档抽取姓名、电话号码、邮箱等信息存入excel表格。通过之前我们的文章他已经学会读取和写入文档和表格但就是无法处理格式不确定的文档。<strong>这里介绍的正则方法,可以帮助他解决这个问题。</strong></p>
<h2 id="目标"><a href="#目标" class="headerlink" title="目标"></a>目标</h2><p>15分钟内让你真正明白正则表达式是什么并且让你可以在自己的python程序里正确使用它。</p>
<p>你将学会:</p>
<ol>
<li>极简python使用正则的方法</li>
<li>如果利用python高效的匹配字符串</li>
<li>如何利用python正则进行文本判断、过滤、信息提取</li>
</ol>
<h2 id="0-极简正则入门"><a href="#0-极简正则入门" class="headerlink" title="0.极简正则入门"></a>0.极简正则入门</h2><p>假设程序从word或者excel读取了一串字符串字符串中有一部分是电话号码现在需要完整提取这个电话号码。</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">reg=re.compile(<span class="string">"[0-9]+"</span>)</span><br><span class="line">a=reg.findall(<span class="string">"我的电话是3555487"</span>)</span><br><span class="line">print(a)</span><br></pre></td></tr></table></figure>
<p>输出:</p>
<p><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img/20191016101032.png" alt></p>
<p>解释:<br><code>&quot;[0-9]+&quot;</code>是正则表达式意思是匹配0-9的数字<code>&quot;+&quot;</code><br>表示可以匹配1次-多次,<code>reg.findall</code>表示从后面的字符串里找到所有的匹配值。</p>
<h2 id="1-字符集"><a href="#1-字符集" class="headerlink" title="1.字符集"></a>1.字符集</h2><p>字符集,又叫元字符,就是用一些特殊符号表示特定种类的字符或位置。</p>
<h4 id="匹配字符"><a href="#匹配字符" class="headerlink" title="匹配字符"></a>匹配字符</h4><table>
<thead>
<tr>
<th align="center">代码</th>
<th>说明</th>
</tr>
</thead>
<tbody><tr>
<td align="center"><code>.</code></td>
<td>匹配除换行符以外的任意一个字符</td>
</tr>
<tr>
<td align="center"><code>\d</code></td>
<td>匹配数字</td>
</tr>
<tr>
<td align="center"><code>\w</code></td>
<td>匹配字母或数字或下划线或汉字</td>
</tr>
<tr>
<td align="center"><code>\s</code></td>
<td>匹配任意的空白符</td>
</tr>
<tr>
<td align="center"><code>^</code></td>
<td>匹配字符串的开始</td>
</tr>
<tr>
<td align="center"><code>$</code></td>
<td>匹配字符串的结束</td>
</tr>
</tbody></table>
<p>举例</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">reg=re.compile(<span class="string">"我."</span>)</span><br><span class="line">a=reg.findall(<span class="string">"我的电话是3555487"</span>)</span><br><span class="line">print(a)</span><br></pre></td></tr></table></figure>
<p>输出:<br><img src="http://jcjview.github.io/img/re201910161010321.png" alt></p>
<h4 id="重复匹配"><a href="#重复匹配" class="headerlink" title="重复匹配"></a>重复匹配</h4><table>
<thead>
<tr>
<th align="center">代码</th>
<th>说明</th>
</tr>
</thead>
<tbody><tr>
<td align="center"><code>*</code></td>
<td>重复0次-无数次</td>
</tr>
<tr>
<td align="center"><code>+</code></td>
<td>重复1次-无数次</td>
</tr>
<tr>
<td align="center"><code>?</code></td>
<td>重复0次-1次</td>
</tr>
<tr>
<td align="center"><code>{m}</code></td>
<td>重复m次</td>
</tr>
<tr>
<td align="center"><code>{m,n}</code></td>
<td>重复m-n次</td>
</tr>
</tbody></table>
<p>举例</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">reg=re.compile(<span class="string">"5+"</span>)</span><br><span class="line">a=reg.findall(<span class="string">"我的电话是3555487"</span>)</span><br><span class="line">print(a)</span><br></pre></td></tr></table></figure>
<p>输出:<br><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img/re_20191016101824.png" alt></p>
<h4 id="贪婪与懒惰"><a href="#贪婪与懒惰" class="headerlink" title="贪婪与懒惰"></a>贪婪与懒惰</h4><p>贪婪:匹配尽可能长的字符串<br>懒惰:匹配尽可能短的字符串<br>懒惰模式的启用只需在重复元字符之后加?既可。</p>
<ul>
<li><code>*?</code> 重复任意次,但尽可能少重复</li>
<li><code>+?</code> 重复1次或更多次但尽可能少重复</li>
<li><code>??</code> 重复0次或1次但尽可能少重复</li>
<li><code>{n,m}?</code> 重复n到m次但尽可能少重复</li>
<li><code>{n,}?</code> 重复n次以上但尽可能少重复</li>
</ul>
<p>举例</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">reg=re.compile(<span class="string">"5+?"</span>)</span><br><span class="line">a=reg.findall(<span class="string">"我的电话是3555487"</span>)</span><br><span class="line">print(a)</span><br></pre></td></tr></table></figure>
<p>输出<br><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img//re_20191016101824111.png" alt></p>
<p>注意:<br>如果想匹配元字符本身或者正则中的一些特殊字符,使用<code>\\</code>转义。</p>
<p>这里介绍的正则内容是最基础的,想要了解更详细的正则表达式语法,请参考:</p>
<h2 id="2-利用正则判断"><a href="#2-利用正则判断" class="headerlink" title="2.利用正则判断"></a>2.利用正则判断</h2><h4 id="判断"><a href="#判断" class="headerlink" title="判断"></a>判断</h4><p>有时候我们想利用正则表达式对用户输入进行判断,比如判断用户输入的身份证号是否符合规则,那么可以这样写:</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">r=<span class="string">r'^([1-9]\d&#123;5&#125;[12]\d&#123;3&#125;(0[1-9]|1[012])(0[1-9]|[12][0-9]|3[01])\d&#123;3&#125;[0-9xX])$'</span></span><br><span class="line"></span><br><span class="line">s1 = <span class="string">'110102200101014779'</span></span><br><span class="line"></span><br><span class="line"><span class="comment">#判断s1字符串是符合正则r</span></span><br><span class="line">an = re.search(r, s1)</span><br><span class="line"><span class="keyword">if</span> an:</span><br><span class="line"> <span class="keyword">print</span> (<span class="string">'yes'</span>)</span><br><span class="line"><span class="keyword">else</span>:</span><br><span class="line"> <span class="keyword">print</span> (<span class="string">'no'</span>)</span><br></pre></td></tr></table></figure>
<p>输入结果<br><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img/re_20191016104208.png" alt></p>
<p>说明:<code>^</code>字符表示必须匹配字符串开头;<code>$</code>表示必须匹配字符串结尾。</p>
<h4 id="过滤"><a href="#过滤" class="headerlink" title="过滤"></a>过滤</h4><p>假设,输出一串文本,只想保留汉字,去除特殊符号。代码如下:</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">special_character_removal = re.compile(<span class="string">r'[,。、【 】“”:;()《》‘’&#123;&#125;?!⑦%&gt;℃.^-——=&amp;#@¥『』]'</span>, re.IGNORECASE)</span><br><span class="line">line=<span class="string">"贾蓉看了说:“高明的很。还要请教先生,这病与『性』命终久有妨无妨?”"</span></span><br><span class="line">l = special_character_removal.sub(<span class="string">''</span>, line)</span><br><span class="line">print(l)</span><br></pre></td></tr></table></figure>
<p>输入结果:<br><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img/re_20191016104753.png" alt></p>
<h4 id="查找位置"><a href="#查找位置" class="headerlink" title="查找位置"></a>查找位置</h4><p>查找某个文本在字符串中的位置,一般用于信息提取。</p>
<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></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> re</span><br><span class="line">p = re.compile(<span class="string">"\d+"</span>)</span><br><span class="line">content=<span class="string">"2019年9月9月9日"</span></span><br><span class="line">result2 = p.finditer(content)</span><br><span class="line"></span><br><span class="line"><span class="keyword">for</span> m <span class="keyword">in</span> result2:</span><br><span class="line"> print(<span class="string">"str"</span>,m.group()) <span class="comment">##字符串</span></span><br><span class="line"> print(<span class="string">"start: "</span>,m.start(),<span class="string">" end: "</span>,m.end()) <span class="comment">##字符串位置</span></span><br></pre></td></tr></table></figure>
<p>输出结果</p>
<p><img src="https://raw.githubusercontent.com/jcjview/jcjview.github.io/master/img/re_20191016110227.png" alt></p>
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