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<!DOCTYPE html>
<html lang="cn">
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<meta charset="utf-8" />
<title>python自动化测试人工智能</title>
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<h1><a href="/">python自动化测试人工智能 </a></h1>
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<h1><a href="/python_pandas_crash_tutorial2.html" rel="bookmark"
title="Permalink to python数据分析快速入门教程2-pandas数据结构">python数据分析快速入门教程2-pandas数据结构</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-31T09:20:00+08:00">
Published: 六 31 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/shu-ju-fen-xi.html">数据分析</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://china-testing.github.io/python_pandas_crash_tutorial.html">本书目录</a></p>
<h3 id="_1">创建数据</h3>
<p>Series和python的列表类似。DataFrame则类似值为Series的字典。</p>
<p>create.py</p>
<div class="highlight"><pre><span></span><span class="ch">#!/usr/bin/env python3</span>
<span class="c1"># -*- coding: utf-8 -*-</span>
<span class="c1"># create.py</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
<span class="k">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n\n</span><span class="s2">创建序列Series"</span><span class="p">)</span>
<span class="n">s</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'banana'</span><span class="p">,</span> <span class="mi">42</span><span class="p">])</span>
<span class="k">print</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n\n</span><span class="s2">指定索引index创建序列Series"</span><span class="p">)</span>
<span class="n">s</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'Wes McKinney'</span><span class="p">,</span> <span class="s1">'Creator of Pandas'</span><span class="p">],</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'Person'</span><span class="p">,</span> <span class="s1">'Who'</span><span class="p">])</span>
<span class="k">print</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="c1"># 注意：列名未必为执行的顺序，通常为按字母排序</span>
<span class="k">print …</span></pre></div>
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<h1><a href="/python_pandas_crash_tutorial3.html" rel="bookmark"
title="Permalink to python数据分析快速入门教程3-绘图">python数据分析快速入门教程3-绘图</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-31T09:20:00+08:00">
Published: 六 31 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/shu-ju-fen-xi.html">数据分析</a>.</p>
</footer><!-- /.post-info --> <p>技术支持qq群：pandas数据分析scrapy爬虫 521070358 Python数据分析pandasopencv 6089740 python自动化测试Flask 144081101</p>
<p><a href="https://github.com/china-testing/python-api-tesing/tree/master/pandas/python_data_analyse_crash_course">源码下载</a></p>
<p><a href="https://china-testing.github.io/testing_training.html">接口自动化性能测试数据分析人工智能从业专家一对一线上培训大纲</a></p>
<p>紧张整理中，多谢关注！</p>
<a class="readmore" href="/python_pandas_crash_tutorial3.html">read more</a>
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<h1><a href="/python_opencv3_exmaple1.html" rel="bookmark"
title="Permalink to python opencv3实例(对象识别和增强现实)1-图像几何转换">python opencv3实例(对象识别和增强现实)1-图像几何转换</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-28T19:20:00+08:00">
Published: 三 28 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://github.com/PacktPublishing/OpenCV-3-x-with-Python-By-Example">原书代码地址</a></p>
<p>在本章中，我们将学习如何应用酷的几何效果到图像。 知识点</p>
<ul>
<li>如何安装OpenCV-Python</li>
<li>如何读取，显示和保存图像</li>
<li>如何转换到多个颜色空间</li>
<li>如何应用几何变换，例如平移，旋转，和缩放</li>
<li>如何使用仿射和投影变换来应用几何效果</li>
</ul>
<p>本书英文版本：<a href="https://itbooks.pipipan.com/fs/18113597-310092139">OpenCV 3.x with Python By Example 2nd 2018.pdf</a> </p>
<p>更多opencv相关书籍：<a href="https://china-testing.github.io/opencv_books.html">最佳人工智能图像处理工具OpenCV书籍下载</a></p>
<h2 id="opencv-python">安装OpenCV-Python</h2>
<ul>
<li>安装</li>
</ul>
<p>本教程基于python3，ubuntu 16，在windows环境可能可以运行。</p>
<p>Linux</p>
<div class="highlight"><pre><span></span><span class="n">pip3</span> <span class="n">install</span> <span class="n">opencv</span><span class="o">-</span><span class="n">python</span>
</pre></div>
<p>Windows</p>
<div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">opencv</span><span class="o">-</span><span class="n">python</span>
</pre></div>
<ul>
<li>
<p>文档：</p>
<p><a href="http://docs.opencv.org/">官网</a> <a href="http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html">opencv-python官方文档</a></p>
</li>
</ul>
<h2 id="_1">读取显示和保存图片</h2>
<p>01_reading_image.py 读取显示图片</p>
<div class="highlight"><pre><span></span><span class="kn">import …</span></pre></div>
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<h1><a href="/python3_lib_argparse.html" rel="bookmark"
title="Permalink to python库介绍-argparse: 命令行选项及参数解析">python库介绍-argparse: 命令行选项及参数解析</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-27T19:20:00+08:00">
Published: 二 27 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h2 id="_1">快速入门</h2>
<p>argparse是一个完整的参数处理库。参数可以根据add_argument()的action选项触发不同action。支持的action有存储参数（单个，或作为列表的一部分）;存储常量的值（对布尔开关true/false有特殊处理）。默认动作是存储参数值。支持type(指定存储类型)和dest(指定存储变量)等参数。 </p>
<p>然后使用函数parse_args()进行参数解析，这个函数的输入默认是sys.argv[1:]，也可以使用其他字符串列表。选项使用GNU/POSIX语法处理，可以混合选项和参数值。parse_args的返回值是一个包含命令参数的Namespace。所有参数以属性的形式存在，比如args.myoption。</p>
<p>下面是一个简单的示例：argparse_short.py</p>
<div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">argparse</span>
<span class="n">parser</span> <span class="o">=</span> <span class="n">argparse</span><span class="o">.</span><span class="n">ArgumentParser</span><span class="p">(</span><span class="n">description</span><span class="o">=</span><span class="s1">'Short sample app'</span><span class="p">)</span>
<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s1">'-a'</span><span class="p">,</span> <span class="n">action</span><span class="o">=</span><span class="s2">"store_true"</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>
<span class="n">parser</span><span class="o">.</span><span class="n">add_argument …</span></pre></div>
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<h1><a href="/python3_lib_dubbo.html" rel="bookmark"
title="Permalink to python库介绍-dubbo：通过telnet接口访问dubbo服务">python库介绍-dubbo：通过telnet接口访问dubbo服务</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-26T19:20:00+08:00">
Published: 一 26 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <ul>
<li><a href="https://china-testing.github.io/python3_quick.html">本文教程目录</a></li>
<li><a href="https://china-testing.github.io/practices.html">python测试开发项目实战-目录</a></li>
<li><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></li>
</ul>
<h2 id="_1">简介</h2>
<p>dubbo服务发布之后，我们可以利用telnet命令进行调试、管理。更多资料参见 <a href="http://alibaba.github.io/dubbo-doc-static/Telnet+Command+Reference-zh-showComments=true&showCommentArea=true.htm">Telnet命令参考手册</a></p>
<p>项目地址：https://bitbucket.org/china-testing/python-chinese-library/src/46204fd809a04f4d9c7450860d48f2951dec3bc1/libraries/_dubbo/?at=default</p>
<p>telnet 调用示例：</p>
<table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
2
3
4
5
6
7
8
9
10
11</pre></div></td><td class="code"><div class="highlight"><pre><span></span><span class="err">$</span> <span class="n">telnet</span> <span class="mf">172.17</span><span class="o">.</span><span class="mf">103.110</span> <span class="mi">9097</span>
<span class="n">Trying</span> <span class="mf">172.17</span><span class="o">.</span><span class="mf">103.110</span><span class="o">...</span>
<span class="n">Connected</span> <span class="n">to</span> <span class="mf">172.17</span><span class="o">.</span><span class="mf">103 …</span></pre></div></td></tr></table>
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<header>
<h1><a href="/python3_lib_pypinyin.html" rel="bookmark"
title="Permalink to python库介绍-pypinyin: 汉字拼音转换工具及中文排序">python库介绍-pypinyin: 汉字拼音转换工具及中文排序</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-26T19:20:00+08:00">
Published: 一 26 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h2 id="_1">简介</h2>
<p>将汉字转为拼音。可以用于汉字注音、排序、检索(Russian translation) 。</p>
<p>中文文档写得很好，这里不再罗嗦： http://pypinyin.readthedocs.io/zh_CN/master/</p>
<p>另外可以基于该库进行中文排序：</p>
<table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>1
2
3
4
5</pre></div></td><td class="code"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">pypinyin</span> <span class="kn">import</span> <span class="n">lazy_pinyin</span>
<span class="n">l</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'中国人'</span><span class="p">,</span> <span class="s1">'啊'</span><span class="p">,</span> <span class="s1">'你好'</span><span class="p">,</span> <span class="s1">'台湾人'</span><span class="p">]</span>
<span class="n">l</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">char</span><span class="p">:</span> <span class="n">lazy_pinyin</span><span class="p">(</span><span class="n">char</span><span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span>
<span class="k">print</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
</pre></div>
</td></tr></table>
<p><a href="https://bitbucket.org/china-testing/python-chinese-library/src/8608aa5693e502050065c0c2dd83df393775a174/libraries/pypinyin/?at=default">代码</a></p>
<h2 id="_2">参考资料：</h2>
<ul>
<li>
<p>python中文库参考项目： https://bitbucket.org/china-testing/python-chinese-library</p>
</li>
<li>
<p>python中文库参考项目文档 …</p></li></ul>
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<h1><a href="/python3_lib_buildbot.html" rel="bookmark"
title="Permalink to python库介绍-buildbot教程">python库介绍-buildbot教程</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-25T19:23:00+08:00">
Published: 日 25 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <ul>
<li><a href="https://china-testing.github.io/practices.html">python测试开发项目实战-目录</a></li>
<li><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></li>
</ul>
<p>Buildbot是python实现的开源持续构建和持续交付工具，为Python, Mozilla, Chromium, WebKit等知名项目使用。</p>
<p>与Jenkins相比，Buildbot在大陆使用者较少。原因在于Jenkins的界面相对较美观，更容易上手；Jenkins的中文文档比较丰富。但是Jenkins因为资源消耗庞大、不太方便定制而不受一些有实力的公司欢迎。这些不少把目光聚焦在Buildbot。</p>
<p>究竟Buildbot有哪些优点让这些公司青睐呢？Buildbot基于python网络框架Twisted，分布式做得好。Buildbot可以直接使用python包，轻松拥有上万库，具备强大的扩展能力。如果你觉得Jenkins已经轻松地满足你的需求，你不需要Buildbot。如果你在Jenkins时觉得效率低下、扩展困难、一些用python等脚本可以实现的动作在Jenkins困难重重，那么可以看看Buildbot。</p>
<p>python的buildbot站点： http://buildbot.python.org/all/#/</p>
<p>Buildbot是开源的自动化软件构建，测试，发布流程的框架。</p>
<p>Buildbot支持跨平台，分布式，并行执行jobs，与版本控制系统的灵活集成，丰富的状态报告等等。 </p>
<p>Buildbot是一个作业调度系统：它会对作业进行排队，在所需要的资源可用时执行任务，并报告结果。</p>
<p>Buildbot有一个或多个主机和从机。主机监控源代码库的变化，调配从机，并给用户和开发者报告结果。从机可在多种操作系统上运行 …</p>
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<h1><a href="/python3_lib_os.path.html" rel="bookmark"
title="Permalink to python库介绍-os.path: 平台独立的文件名操作">python库介绍-os.path: 平台独立的文件名操作</a></h1>
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<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-03-25T19:20:00+08:00">
Published: 日 25 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p>的：文件名和路径解析，组合，测试等。</p>
<p>使用os.path模块中包含的函数编写代码以便在多个平台上处理文件非常简单。即使不打算在平台之间移植的程序也应该使用os.path来进行可靠的文件名解析。</p>
<h2 id="_1">解析路径</h2>
<p>路径解析依赖于在os中定义的几个变量：</p>
<div class="highlight"><pre><span></span>os.sep - 路径各部分之间的分隔符（例如“/”或“\”）。
os.extsep - 文件名和文件扩展名之间的分隔符。
os.pardir - 上级目录(e.g., “..”)。
os.curdir - 当前目录 (e.g., “.”)。
</pre></div>
<p>split()函数将路径分成两个独立的部分，并返回包含结果的元组。元组的第二个元素是路径的最后一个元素，第一个元素是之前的所有元素。</p>
<div class="highlight"><pre><span></span><span class="c1"># ospath_split.py</span>
<span class="kn">import</span> <span class="nn">os.path</span>
<span class="n">PATHS</span> <span class="o">=</span> <span class="p">[</span>
<span class="s1">'/one/two/three'</span><span class="p">,</span>
<span class="s1">'/one/two/three/'</span><span class="p">,</span>
<span class="s1">'/'</span><span class="p">,</span>
<span class="s1">'.'</span><span class="p">,</span>
<span class="s1">''</span><span class="p">,</span>
<span class="p">]</span>
<span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="n">PATHS</span><span class="p">:</span>
<span class="k">print …</span></pre></div>
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<h1><a href="/python3_lib_time.html" rel="bookmark"
title="Permalink to python模块介绍-time 时间访问和转换">python模块介绍-time 时间访问和转换</a></h1>
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<abbr class="published" title="2018-03-22T19:20:00+08:00">
Published: 四 22 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <ul>
<li><a href="https://china-testing.github.io/practices.html">python测试开发项目实战-目录</a></li>
<li><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></li>
<li><a href="https://china-testing.github.io/python3_quick.html">python 3.7极速入门教程 - 目录</a></li>
</ul>
<h2 id="_1">快速入门</h2>
<div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">1</span><span class="p">]:</span> <span class="kn">import</span> <span class="nn">time</span>
<span class="c1"># 获取当前时间</span>
<span class="n">In</span> <span class="p">[</span><span class="mi">25</span><span class="p">]:</span> <span class="n">time</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s2">"%Y-%m-</span><span class="si">%d</span><span class="s2">_%H-%M-%S"</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">localtime</span><span class="p">())</span>
<span class="n">Out</span><span class="p">[</span><span class="mi">25</span><span class="p">]:</span> <span class="s1">'2018-06-17_20-05-36'</span>
<span class="c1"># 停顿0.5秒</span>
<span class="n">In</span> <span class="p">[</span><span class="mi">26</span><span class="p">]:</span> <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span>
</pre></div>
<h2 id="_2">简介</h2>
<p>功能：时间访问和转换。</p>
<p>相关模块：</p>
<p>datetime 标准模块。
calendar 标准模块。</p>
<p>下面介绍一些术语和约定：</p>
<p><em>epoch</em>是时间开始点。对于Unix ，时代是1970年1月1日0点。通过time …</p>
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<h1><a href="/python3_python-daemon.html" rel="bookmark"
title="Permalink to python库介绍-python-daemon: 实现python后台程序">python库介绍-python-daemon: 实现python后台程序</a></h1>
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<abbr class="published" title="2018-03-22T19:20:00+08:00">
Published: 四 22 三月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h3 id="_1">简介</h3>
<p>python-daemon实现Unix守护进程。 参考：<a href="https://www.python.org/dev/peps/pep-3143/">PEP 3143</a></p>
<p>该库实现了PEP 3143“标准守护进程库”的良好行为守护进程规范。</p>
<p>DaemonContext实例保存程序的行为和配置的进程环境。</p>
<h3 id="_2">快速入门</h3>
<table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
2
3
4
5
6
7
8
9
10
11
12
13
14</pre></div></td><td class="code"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
<span class="k">with</span> <span class="n">daemon</span><span class="o">.</span><span class="n">DaemonContext</span><span class="p">():</span>
<span class="n">f</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="s2">"/tmp/test.log"</span><span class="p">,</span><span class="s1">'w'</span><span class="p">)</span>
<span class="k">while</span> <span class="bp">True</span><span class="p">:</span>
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s1">'''</span>
<span class="s1"> Library to implement a well-behaved Unix daemon process.</span>
<span class="s1">This library …</span></pre></div></td></tr></table>
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