怎么样运用Python脚本分析CPU的运用状况？
<div style="color: black; text-align: left; margin-bottom: 10px;">
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">博主</span>给<span style="color: black;">大众</span>分享一个工具，用以分析Python中CPU<span style="color: black;">运用</span><span style="color: black;">状况</span>。CPU分析是<span style="color: black;">经过</span>分析CPU执行代码的方式来<span style="color: black;">测绘</span>代码的性能，以此找到代码中的<span style="color: black;">不当</span>之处，<span style="color: black;">而后</span>处理它们。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">接下来<span style="color: black;">咱们</span>将<span style="color: black;">瞧瞧</span><span style="color: black;">怎样</span>跟踪Python脚本<span style="color: black;">运用</span>时CPU<span style="color: black;">运用</span><span style="color: black;">状况</span>，重点关注以下几个方面：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">1、cProfile</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">2、line_profiler</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">3、pprofile</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">4、vprof</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">测绘</span>CPU<span style="color: black;">运用</span>率，<span style="color: black;">重点</span><span style="color: black;">运用</span>与内存分析中<span style="color: black;">运用</span>脚本相同的脚本，<span style="color: black;">详细</span>如下：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/e20b5d811ebe4669bcdefa74deac2856~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=TCahJ6FZKjZ%2BNdpnecYn6VbeZNg%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">另一</span>，请记住，在PyPy2中，你<span style="color: black;">必须</span><span style="color: black;">运用</span>与之<span style="color: black;">协同</span>的pip版本：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/c827aeedd82f49e28212e368e8a47e9a~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=lFjFYAEo3oNeEklFsBODPFmADSA%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">并且其他依赖项<span style="color: black;">亦</span>将被安装：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/0f889133427142fdb8ff50787696d7da~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=Akk%2FZnvZ9MloRLIJGsrDwvU98M8%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">cProfile</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在讨论CPU分析时，最常用的工具之一是cProfile，<span style="color: black;">重点</span>是<span style="color: black;">由于</span>它内置在CPython2和PyPy2中。这是一个确定性的分析器，<span style="color: black;">寓意</span>着在运行程序时会收集一组统计数据，例如<span style="color: black;">咱们</span>代码的各个部分的执行次数或执行时间。<span style="color: black;">另外</span>，cProfile在系统上的开销比其他内置的分析器（配置文件）要低。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">CPython2的用法很简单：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/9e3656ff18724bdb90d576c1e49ff627~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=ihFk2hNxuDXk0pBxWooEqo3FBcs%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">倘若</span>你<span style="color: black;">运用</span>PyPy2：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p6-sign.toutiaoimg.com/pgc-image/fe15918333f54265be02e22409cb880a~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=%2FL8zkZlXugppuwWqBx2TZmapb48%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">其输出如下：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/4b3a458f3f224139a0ab95f5ee053ef6~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=itESQ0mKxpyvhBeDukE0ylMHP5k%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">即使<span style="color: black;">运用</span>这个文本输出，很容易看到<span style="color: black;">咱们</span>的脚本多次调用了list.append<span style="color: black;">办法</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">倘若</span><span style="color: black;">咱们</span><span style="color: black;">运用</span>gprof2dot，<span style="color: black;">咱们</span><span style="color: black;">能够</span>以图形的方式看到cProfile输出。要<span style="color: black;">运用</span>它，<span style="color: black;">咱们</span><span style="color: black;">必要</span><span style="color: black;">首要</span>安装graphviz，之后是<span style="color: black;">有些</span>依赖包，最后在Ubuntu上<span style="color: black;">运用</span>如下命令：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/23784ba3e8b7403b97bdde6c1cc97944~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=Rx3CrzgcH8gwm1xAcOfi6Mt1ZUI%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">再次运行脚本：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/23b07e85c3714c17a72131fb69f1d845~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=mdgwyY7FXQ0FGfSfW0IKq%2BPj%2F4k%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span>得到以下output.png文件：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p6-sign.toutiaoimg.com/pgc-image/0786c56d0ca945428f56cc98e3a3eb92~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=5U%2FIKfnzC35hZrUQQL3nA%2BeKMmY%3D" style="width: 50%; margin-bottom: 20px;"></div>
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">这般</span><span style="color: black;">更易</span>看到一切。<span style="color: black;">咱们</span>来仔细<span style="color: black;">瞧瞧</span>它的输出。你<span style="color: black;">能够</span>看到脚本中的函数调用如下：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">第1</span>行：Python文件名，行号和<span style="color: black;">办法</span>名<span style="color: black;">叫作</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">第二行：代码块占用<span style="color: black;">所有</span>时间的百分比</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">第三行：括号中，<span style="color: black;">办法</span>本身占<span style="color: black;">所有</span>时间的百分比</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">第四行：调用函数的次数</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">例如，在顶部的第三个红色方块中，<span style="color: black;">办法</span>primes占用了98.28％的时间，其中65.44％的内容在其中进行，调用了40次。其余的时间花在Python中的list.append（22.33％）和range（11.51％）中。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">做为</span>一个简单的脚本，<span style="color: black;">咱们</span>只<span style="color: black;">必须</span>重写<span style="color: black;">咱们</span>的脚本，<span style="color: black;">详细</span>的如下所示：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/79550a88fee342b88a424fbfdb0aeecd~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=RYLIJZ7R6w5U6AuOkG%2F%2FOD9L22E%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">倘若</span><span style="color: black;">咱们</span><span style="color: black;">运用</span>CPython2<span style="color: black;">测绘</span><span style="color: black;">咱们</span>脚本的时间，</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p26-sign.toutiaoimg.com/pgc-image/8d84351522434ad092e8907358fb466d~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=bnNt1%2FoAonVrCecITRF3heez0KY%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">还有PyPy2：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/61254a508a89477995c8eed7acef91a3~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=FoKoNtmTO5TjEgIKFy7IneRO0As%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span><span style="color: black;">经过</span><span style="color: black;">运用</span>PyPy2的CPython2和3.1X<span style="color: black;">得到</span>了不错的效果，下面是cProfile的调用流程图：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/0365558e2d9e4751a325e8ff9d3f1313~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=vrLpCWXHAT8QTBe7iMx9yP2gM7I%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">你还<span style="color: black;">能够</span>以编程方式<span style="color: black;">运用</span>cProfile，例如：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/a6c2247990eb48b6820835c11dafa8f9~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=bgTmc001PXLhr9oTvH8IuSzdc60%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">这在某些<span style="color: black;">状况</span>下<span style="color: black;">特别有</span>用，例如多进程性能<span style="color: black;">测绘</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">line_profiler</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">此分析器在行级<span style="color: black;">供给</span>关于工作负载的信息。它<span style="color: black;">运用</span>Cython在C中实现，并将其与cProfile进行比较时<span style="color: black;">发掘</span>其<span style="color: black;">拥有</span>较小的开销。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">源代码<span style="color: black;">能够</span>在<span style="color: black;">这儿</span>找到，<span style="color: black;">亦</span><span style="color: black;">能够</span>在<span style="color: black;">这儿</span>找到PyPI页面。与cProfile相比，它<span style="color: black;">拥有</span><span style="color: black;">同样</span>的开销，<span style="color: black;">不外</span>却要花费12倍的时间来获取配置文件。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">要<span style="color: black;">运用</span>它，你<span style="color: black;">必须</span>先<span style="color: black;">经过</span>pip添加它：pip install pip install Cython ipython == 5.4.1 line_profiler（CPython2）。这个分析器的一个<span style="color: black;">重点</span>缺点是它不支持PyPy。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">就像<span style="color: black;">运用</span>memory_profiler<span style="color: black;">同样</span>，你<span style="color: black;">必须</span>在要分析的函数中添加一个装饰器。在<span style="color: black;">咱们</span>的例子中，你<span style="color: black;">必须</span>在03.primes-v1.py中定义<span style="color: black;">咱们</span>的primes函数之前添加@profile。<span style="color: black;">而后</span>调用它：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/a6d7151106c041a19a07f490351da18b~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=Qugh%2FT8rHaRtCIaUTB9nATbY8AU%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">你将得到如下输出：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/d43df2766fd64dffa548bb3388fc206e~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=cfGO0hfTuC9xQAAuWR5w78G1s14%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span>看到，重复调用list.append的两个循环花了最多的时间。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">pprofile</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">按照</span>作者说明，pprofile是一个“线程<span style="color: black;">测绘</span>和统计的纯python分析器”。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">它受到line_profiler的启发，修复了<span style="color: black;">非常多</span>缺点，<span style="color: black;">然则</span><span style="color: black;">因为</span>它完全用Python编写，<span style="color: black;">因此</span>它<span style="color: black;">亦</span><span style="color: black;">能够</span>与PyPy成功<span style="color: black;">运用</span>。与cProfile相比，<span style="color: black;">运用</span>CPython时的分析时间要多28倍，而<span style="color: black;">运用</span>PyPy时，分析时间要多10倍，<span style="color: black;">况且</span>细节水平更加细化。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span><span style="color: black;">亦</span>支持PyPy！除此之外，它支持剖析线程，这在<span style="color: black;">各样</span><span style="color: black;">状况</span>下可能会很方便。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">要<span style="color: black;">运用</span>它，你<span style="color: black;">必须</span>先<span style="color: black;">经过</span>pip添加它：<strong style="color: blue;">pip install pprofile（CPython2）/ pypy -m pip install pprofile（PyPy）</strong>，<span style="color: black;">而后</span>调用它：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/96b605c790c042c197b20f912e1ff909~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=asi6nN9tJOZ7HxeshgibTbNu%2FN4%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">输出与<span style="color: black;">咱们</span>以前看到的<span style="color: black;">区别</span>，<span style="color: black;">咱们</span>得到如下结果：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/ca70b74d3c0947baa95989deb892de0b~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=w3oGJxQN%2FsXMGFnWJq%2ByPL3NhUw%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span><span style="color: black;">此刻</span><span style="color: black;">能够</span>更<span style="color: black;">仔细</span>地看到一切。让<span style="color: black;">咱们</span>来<span style="color: black;">瞧瞧</span>输出。你<span style="color: black;">能够</span><span style="color: black;">得到</span>脚本的<span style="color: black;">全部</span>输出，并且在每行之前，你<span style="color: black;">能够</span>看到对其进行的调用次数，运行时间（秒），每次调用的时间和全局时间的百分比，pprofile为<span style="color: black;">咱们</span>的输出添加了额外的行（如第44和50行，以（call）开头）与累积指标。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">再次，<span style="color: black;">咱们</span>看到，重复调用list.append的两个循环花了<span style="color: black;">咱们</span>脚本中最多的时间。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">vprof</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">vprof是一个Python分析器，为<span style="color: black;">各样</span>Python程序特性（如运行时间和内存<span style="color: black;">运用</span>）<span style="color: black;">供给</span>丰富的交互式可视化。它是一个基于Node.JS的图形化的<span style="color: black;">表示</span>在网页中的结果。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">运用</span>它，你<span style="color: black;">能够</span>看到与Python脚本<span style="color: black;">关联</span>的以下一个或<span style="color: black;">所有</span>：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">1、CPU<span style="color: black;">运用</span>图</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">2、代码分析</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">3、内存图</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">4、代码热图</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">要<span style="color: black;">运用</span>它，你<span style="color: black;">必须</span>先<span style="color: black;">经过</span>pip添加它：<strong style="color: blue;">pip install vprof（CPython2）/ pypy -m pip install vprof（PyPy）</strong>，<span style="color: black;">而后</span>调用它：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在CPython2上，<span style="color: black;">表示</span>代码散热图（<span style="color: black;">第1</span>个调用如下）和代码分析（下面的第二个调用）：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p26-sign.toutiaoimg.com/pgc-image/50ec9203815547338cb295fe392b4f60~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=Q7gsVgg4xIeUViKG3SsdSDwSPMM%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在PyPy上，<span style="color: black;">表示</span>代码散热图（<span style="color: black;">第1</span>个调用如下）和代码分析（下面的第二个调用）：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/81db81ab25164a9fa56e67009d564dd3~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=E11emMoN9SAq5Vrw46G1HTvMEww%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在每种<span style="color: black;">状况</span>下，你将看到代码散点图的以下内容</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/f9fa0086218d457d9ca1d32bcf0c98b6~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=MV91wn9TsvUwoVipYvOrYjWQ8YQ%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">以及代码分析的以下内容。</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/pgc-image/e025ea91db964758826a57781009cac1~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=6Q%2BKVCvhrNHILgSHwLFtjZflrrg%3D" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">结果以图形方式看到，<span style="color: black;">咱们</span><span style="color: black;">能够</span>悬停鼠标或单击每行以获取<span style="color: black;">更加多</span>信息。再次，<span style="color: black;">咱们</span>看到，重复调用list.append的两个循环花了<span style="color: black;">咱们</span>脚本中最多的时间。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">情人节有奖<span style="color: black;">专题</span>中奖名单<span style="color: black;">颁布</span></p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p26-sign.toutiaoimg.com/pgc-image/7c59697e0fcd4b1ab95f22bb0969ce93~noop.image?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1723895535&x-signature=TUlDpp%2F1t6qcuaR6LKDLWoPahgM%3D" style="width: 50%; margin-bottom: 20px;"></div>
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这篇文章真的让我受益匪浅，外链发布感谢分享！ 外贸B2B平台有哪些？
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