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<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="function"><span class="keyword">def</span> <span class="title">func</span><span class="params">()</span>:</span></span><br><span class="line"> print(<span class="string">'ok'</span>)</span><br><span class="line"> </span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line"> func()</span><br></pre></td></tr></table></figure>
<p>这种形式的代码，相信你已经见过很多，在脚本的末尾，出现一个if条件判断，这个if条件判断的作用是什么呢，<code>__name__</code>事先并没有定义，为什么可以直接使用呢，它从哪里来？ 回答这些问题，必须先了解<strong>模块属性</strong></p>
<h3 id="1-模块属性"><a href="#1-模块属性" class="headerlink" title="1.模块属性"></a>1.<strong>模块属性</strong></h3><p>一个python脚本（以.py 结尾的文件）就是一个模块，模块自身有若干属性，其中比较常用的是如下两个</p>
<ol>
<li><code>__name__</code> 模块的名称</li>
<li><code>__file__</code> 脚本的完整文件路径</li>
</ol>
<p>在任意一个python脚本里，你都可以输出这两个属性（注意Jupyter notebook等交互式IDE可能会报__file__错，直接在终端或vscode运行就好了）</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">print(__name__)</span><br><span class="line">print(__file__)</span><br></pre></td></tr></table></figure>
<p>得到结果</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">/Users/wangyaowei/Desktop/test.py</span><br><span class="line">__main__</span><br></pre></td></tr></table></figure>
<p><code>__name__</code>的值是<code>__main__</code> ，这表示模块的名称是<code>__main__</code><br><code>__file__</code>是文件的完整路径</p>
<p>虽然弄清楚了<code>__name__</code>是怎么一回事，但也带来了新的疑问，明明<code>__name__</code>就等于<code>__main__</code>，为何还要做if条件判断呢？显然是存在<code>__name__</code>不等于<code>__main__</code>的情况。</p>
<h3 id="2-直接执行与其他模块引入"><a href="#2-直接执行与其他模块引入" class="headerlink" title="2.直接执行与其他模块引入"></a>2.<strong>直接执行与其他模块引入</strong></h3><p>简单的功能，我们可以在一个python脚本里完成，但复杂的功能，我们会写多个python 脚本，比如下面的例子里，有两个脚本，一个是main.py ，做为整个程序的启动脚本，utils.py 提供一些辅助函数，供main.py使用</p>
<p>(1) utils.py</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></pre></td><td class="code"><pre><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">safe_division</span><span class="params">(a, b)</span>:</span></span><br><span class="line"> <span class="keyword">if</span> b == <span class="number">0</span>:</span><br><span class="line"> <span class="keyword">return</span> <span class="literal">None</span></span><br><span class="line"> <span class="keyword">return</span> a/b</span><br><span class="line"></span><br><span class="line">print(<span class="string">"utils 模块里的__name__ 值为："</span>, __name__)</span><br></pre></td></tr></table></figure>
<p>(2) main.py</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><span class="line">12</span><br><span class="line">13</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">from</span> utils <span class="keyword">import</span> safe_division</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">func</span><span class="params">()</span>:</span></span><br><span class="line"> value = input(<span class="string">"输入两个整数，中间用空格分开:"</span>)</span><br><span class="line"> arrs = value.split()</span><br><span class="line"> a = int(arrs[<span class="number">0</span>])</span><br><span class="line"> b = int(arrs[<span class="number">1</span>])</span><br><span class="line"></span><br><span class="line"> result = safe_division(a, b)</span><br><span class="line"> print(result)</span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line"> func()</span><br></pre></td></tr></table></figure>
<p>接下来，通过两步实验，来理解<code>__name__</code>在不同场景下的取值情况。</p>
<p>第一步，先来执行utils.py文件</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">python utils.py</span><br><span class="line"><span class="meta">>>> </span>utils 模块里的__name__ 值为： __main__</span><br></pre></td></tr></table></figure>
<p>第二步，执行main.py</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">python main.py</span><br><span class="line">>>>utils 模块里的__name__ 值为： utils</span><br><span class="line">>>>输入两个整数，中间用空格分开:<span class="number">5</span> <span class="number">2</span></span><br><span class="line">>>><span class="number">2.5</span></span><br></pre></td></tr></table></figure>
<p>这里有一个现象，你必须理解其背后的原因，我们明明执行的main.py脚本，但是utils.py脚本里的代码也被执行了，这是因为在main.py脚本里引入了utils.py 这个模块，被引入的脚本里的代码会在引入时执行。</p>
<p>当utils.py 被其他脚本引入时，它的<code>__name__</code>就不等于<code>__main__</code>， 而是等于utils,恰好是文件名称去掉.py 剩余的部分。</p>
<p>经过上面的实验，我们可以得出两个结论</p>
<ol>
<li>当脚本被直接执行时，模块属性<code>__name__</code>等于<code>__main__</code></li>
<li>当脚本被其他模块引入时，模块属性<code>__name__</code>等于脚本名称去掉.py 后剩余的部分</li>
</ol>
<h3 id="3-终极目的—测试模块里函数"><a href="#3-终极目的—测试模块里函数" class="headerlink" title="3.终极目的—测试模块里函数"></a>3.<strong>终极目的—测试模块里函数</strong></h3><p>由于一个脚本被引入时，自身的代码会被执行，因此我们在每个脚本里都写上一段<code>if __name__ == '__main__'</code>如果你希望一些代码只有在脚本被直接执行时才执行，那么就把这些代码放入到if 语句块中，最常见的情形就是测试代码,下面我对utils.py 进行修改</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></pre></td><td class="code"><pre><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">safe_division</span><span class="params">(a, b)</span>:</span></span><br><span class="line"> <span class="keyword">if</span> b == <span class="number">0</span>:</span><br><span class="line"> <span class="keyword">return</span> <span class="literal">None</span></span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span> a/b</span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line"> print(safe_division(<span class="number">10</span>, <span class="number">5</span>) == <span class="number">2</span>)</span><br><span class="line"> print(safe_division(<span class="number">10</span>, <span class="number">0</span>) == <span class="literal">None</span>)</span><br></pre></td></tr></table></figure>
<p>我们写完一个函数后，不免要写一些测试的代码，而这些测试的代码我们不希望他们在utils.py被引入时执行，只有当我们主动执行utils.py 进行测试才执行这些测试代码</p>
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<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><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><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> matplotlib.pyplot <span class="keyword">as</span> plt </span><br><span class="line"><span class="keyword">import</span> numpy <span class="keyword">as</span> np</span><br><span class="line"><span class="keyword">import</span> pandas <span class="keyword">as</span> pd</span><br><span class="line"><span class="keyword">from</span> pylab <span class="keyword">import</span> *</span><br><span class="line"></span><br><span class="line">plt.figure(figsize=(<span class="number">8.3</span>,<span class="number">6</span>)) </span><br><span class="line">label_font = {<span class="string">'family'</span>:<span class="string">'Arial'</span>,<span class="string">'weight'</span>:<span class="string">'normal'</span>,<span class="string">'size'</span>:<span class="number">22</span>}</span><br><span class="line">legend_font = {<span class="string">'family'</span>:<span class="string">'Arial'</span>,<span class="string">'weight'</span>:<span class="string">'normal'</span>,<span class="string">'size'</span>:<span class="number">15</span>}</span><br><span class="line">plt.rcParams[<span class="string">'xtick.direction'</span>] = <span class="string">'in'</span><span class="comment">#将x周的刻度线方向设置向内</span></span><br><span class="line">plt.rcParams[<span class="string">'ytick.direction'</span>] = <span class="string">'in'</span><span class="comment">#将y轴的刻度方向设置向内</span></span><br><span class="line">plt.yticks(fontproperties = <span class="string">'Arial'</span>, size = <span class="number">24</span>)</span><br><span class="line">plt.xticks(fontproperties = <span class="string">'Arial'</span>, size = <span class="number">20</span>)</span><br><span class="line">plt.ylabel(<span class="string">'$\mathregular{R^{2}}$'</span>+<span class="string">' coefficient of determination'</span>,label_font)</span><br><span class="line">plt.xlabel(<span class="string">'Number of features'</span>,label_font)</span><br><span class="line">tick_params(which=<span class="string">'major'</span>,width=<span class="number">2</span>,length=<span class="number">6</span>)</span><br><span class="line">ax=plt.gca()</span><br><span class="line">bwith = <span class="number">2</span></span><br><span class="line">ax.spines[<span class="string">'bottom'</span>].set_linewidth(bwith) </span><br><span class="line">ax.spines[<span class="string">'top'</span>].set_linewidth(bwith)</span><br><span class="line">ax.spines[<span class="string">'left'</span>].set_linewidth(bwith) </span><br><span class="line">ax.spines[<span class="string">'right'</span>].set_linewidth(bwith)</span><br><span class="line"></span><br><span class="line">plt.ylim([<span class="number">0</span>,<span class="number">1</span>])</span><br><span class="line">my_x_ticks = np.arange(<span class="number">1</span>, <span class="number">6</span>, <span class="number">1</span>)<span class="comment">#原始数据有13个点，故此处为设置从0开始，间隔为1</span></span><br><span class="line">plt.xticks(my_x_ticks)</span><br><span class="line">plt.title(<span class="string">'Random forest regression'</span>,fontsize=<span class="number">20</span>)</span><br><span class="line"></span><br><span class="line">d = [<span class="number">1</span>,<span class="number">2</span>,<span class="number">3</span>,<span class="number">4</span>,<span class="number">5</span>]</span><br><span class="line">r2_rf = [<span class="number">0.822</span>,<span class="number">0.888</span>,<span class="number">0.964</span>,<span class="number">0.964</span>,<span class="number">0.964</span>]</span><br><span class="line">r2tr_rf = [<span class="number">0.8264</span>,<span class="number">0.892</span>,<span class="number">0.9629</span>,<span class="number">0.964</span>,<span class="number">0.9604</span>]</span><br><span class="line">r2te_rf = [<span class="number">0.5456</span>,<span class="number">0.5919</span>,<span class="number">0.7318</span>,<span class="number">0.7362</span>,<span class="number">0.7203</span>]</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">plt.plot(d,r2_rf,<span class="string">'o'</span>,ls=<span class="string">'solid'</span>,lw=<span class="number">1</span>,markeredgecolor=<span class="string">'black'</span>,markersize=<span class="number">8</span>,label=<span class="string">'Entire dataset(50 cases) without cross-validation'</span>)</span><br><span class="line">plt.plot(d,r2tr_rf,<span class="string">'s'</span>,ls=<span class="string">'solid'</span>,lw=<span class="number">1</span>,markeredgecolor=<span class="string">'black'</span>,markersize=<span class="number">8</span>,label=<span class="string">'Trainning dataset(45 cases)'</span>)</span><br><span class="line">plt.plot(d,r2te_rf,<span class="string">'^'</span>,ls=<span class="string">'solid'</span>,lw=<span class="number">1</span>,markeredgecolor=<span class="string">'black'</span>,markersize=<span class="number">8</span>,label=<span class="string">'Test dataset(5 cases)'</span>)</span><br><span class="line"></span><br><span class="line">plt.legend(loc=<span class="string">'best'</span>,prop =legend_font,fancybox=<span class="literal">False</span>,edgecolor=<span class="string">'black'</span>)</span><br><span class="line">plt.tight_layout()</span><br><span class="line">plt.savefig(<span class="string">'rfr.pdf'</span>,dpi = <span class="number">300</span>)</span><br><span class="line">plt.show()</span><br></pre></td></tr></table></figure>
<p>效果图：</p>
<img src="/2020/10/07/sci%E4%BD%9C%E5%9B%BE/rfr.jpeg" style="zoom:24%;">
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