实验项目7 Python功能展示.zip 121.17KB

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实验项目7 Python功能展示.zip 大约有6个文件

实验项目7 Python功能展示/fruit_data_with_colors.txt 2.31KB
实验项目7 Python功能展示/test0701.py 627B
实验项目7 Python功能展示/test0702.py 665B
实验项目7 Python功能展示/test0703.py 7.58KB
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实验项目7 Python功能展示.zip

<link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/3/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/bg1.jpg"/><div class="c x1 y1 w2 h2"><div class="t m0 x0 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">1</div></div><div class="t m0 x2 h4 y3 ff2 fs1 fc0 sc1 ls0 ws0">平顶山<span class="_ _0"></span>学院实验<span class="_ _0"></span>项目卡</div><div class="c x3 y4 w3 h5"><div class="t m0 x4 h6 y5 ff3 fs2 fc0 sc0 ls0 ws0">所<span class="ff1"> <span class="_ _1"> </span></span>用<span class="ff1"> <span class="_ _1"> </span></span>的<span class="ff1"> <span class="_ _1"> </span></span>主<span class="ff1"> <span class="_ _1"> </span></span>要<span class="ff1"> <span class="_ _1"> </span></span>设<span class="ff1"> <span class="_ _1"> </span></span>备</div></div><div class="c x5 y6 w4 h7"><div class="t m0 x6 h6 y7 ff3 fs2 fc0 sc0 ls0 ws0">实验课</div><div class="t m0 x6 h6 y8 ff3 fs2 fc0 sc0 ls0 ws0">名<span class="ff1"> <span class="_ _1"> </span></span>称</div></div><div class="c x7 y6 w5 h7"><div class="t m0 x8 h6 y7 ff3 fs2 fc0 sc0 ls0 ws0">《计算机工程与技术导</div><div class="t m0 x9 h6 y9 ff3 fs2 fc0 sc0 ls0 ws0">论》</div></div><div class="c x3 y6 w6 h8"><div class="t m0 xa h6 y5 ff3 fs2 fc0 sc0 ls0 ws0">序号</div></div><div class="c xb y6 w7 h8"><div class="t m0 xc h6 y5 ff3 fs2 fc0 sc0 ls0 ws0">名<span class="ff1"> <span class="_ _2"> </span></span>称</div></div><div class="c xd y6 w8 h8"><div class="t m0 xe h6 y5 ff3 fs2 fc0 sc0 ls0 ws0">台、套数</div></div><div class="c x5 ya w4 h9"><div class="t m0 xa h6 yb ff3 fs2 fc0 sc0 ls0 ws0">实验室名称</div></div><div class="c x7 ya w5 h9"><div class="t m0 x9 ha yc ff1 fs2 fc0 sc0 ls0 ws0">S409</div></div><div class="c x3 ya w6 h9"><div class="t m0 xe ha yc ff1 fs2 fc0 sc0 ls0 ws0">1</div></div><div class="c xb ya w7 h9"><div class="t m0 xf h6 yb ff3 fs2 fc0 sc0 ls0 ws0">台式电脑</div></div><div class="c x5 yd w4 h9"><div class="t m0 x10 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">任课教师</div></div><div class="c x3 yd w6 h9"><div class="t m0 xe ha yc ff1 fs2 fc0 sc0 ls0 ws0">2</div></div><div class="c x5 ye w4 h9"><div class="t m0 x10 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">实验学时</div></div><div class="c x7 ye w5 h9"><div class="t m0 x11 ha yc ff1 fs2 fc0 sc0 ls0 ws0">6</div></div><div class="c x3 ye w6 h9"><div class="t m0 xe ha yc ff1 fs2 fc0 sc0 ls0 ws0">3</div></div><div class="c x5 yf w9 h9"><div class="t m0 xe h6 yb ff3 fs2 fc0 sc0 ls0 ws0">专<span class="ff1"> <span class="_ _3"> </span></span>业</div></div><div class="c x7 yf wa hb"><div class="t m0 x12 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">计算机科学与技术</div></div><div class="c x3 yf wb h9"><div class="t m0 x13 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">班<span class="ff1"> <span class="_ _1"> </span></span>级</div></div><div class="c x14 yf wc h9"><div class="t m0 x15 h6 yb ff1 fs2 fc0 sc0 ls0 ws0">24<span class="_"> </span><span class="ff3">计科<span class="_ _4"> </span></span>1<span class="_"> </span><span class="ff3">班</span></div></div><div class="c x5 y10 w9 h9"><div class="t m0 x10 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">学生总数</div></div><div class="c x7 y10 wa h9"><div class="t m0 x16 ha yc ff1 fs2 fc0 sc0 ls0 ws0">57</div></div><div class="c x3 y10 wb h9"><div class="t m0 x17 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">实验组数</div></div><div class="c x14 y10 wd h9"><div class="t m0 x12 ha yc ff1 fs2 fc0 sc0 ls0 ws0">57</div></div><div class="c x18 y10 wb h9"><div class="t m0 x17 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">每组人数</div></div><div class="c x19 y10 we h9"><div class="t m0 x1a ha yc ff1 fs2 fc0 sc0 ls0 ws0">1</div></div><div class="c x5 y11 wf h9"><div class="t m0 x13 h6 yb ff3 fs2 fc0 sc0 ls0 ws0">实<span class="_ _5"> </span>验<span class="_ _5"> </span>目<span class="_ _5"> </span>的<span class="_ _5"> </span>要<span class="_ _5"> </span>求</div></div><div class="c x5 y12 wf hc"><div class="t m0 x1b hd y13 ff4 fs3 fc0 sc0 ls0 ws0">实验<span class="_ _6"> </span><span class="ff5">7 Python<span class="_ _6"> </span></span>功能展示</div><div class="t m0 x1c hd y14 ff4 fs3 fc0 sc0 ls0 ws0">（一）实验目的与要求</div><div class="t m0 x1d h6 y15 ff6 fs2 fc0 sc0 ls0 ws0">1.<span class="ff3">通过网络资源下载，理解客户端与服务器端的活动。</span></div><div class="t m0 x1d h6 y16 ff6 fs2 fc0 sc0 ls0 ws0">2.<span class="ff3">通过文本分类或图像分类算法，理解人工智能算法特点。</span></div><div class="t m0 x1c hd y17 ff4 fs3 fc0 sc0 ls0 ws0">（二）实验内容</div><div class="t m0 x1d h6 y18 ff6 fs2 fc0 sc0 ls0 ws0">1.<span class="ff3">基于<span class="_ _4"> </span></span>Python<span class="_ _4"> </span><span class="ff3">在资源共享的基础上下载文本、图片等信息，理解浏览器</span>/<span class="ff3">服务器计算模式。</span></div><div class="t m0 x1d h6 y19 ff6 fs2 fc0 sc0 ls0 ws0">2.<span class="ff3">基于<span class="_ _4"> </span></span>Python<span class="_ _4"> </span><span class="ff3">与经典的数据挖掘算法（</span>KNN<span class="ff3">、逻辑回归、决策树、线性判别分析、朴素贝叶斯、</span></div><div class="t m0 x1c h6 y1a ff3 fs2 fc0 sc0 ls0 ws0">支持向量机）实现文本分类或图像分类，理解人工智能算法求解问题的过程。</div></div><div class="c x5 y1b wf he"><div class="t m0 x1c hf y1c ff2 fs4 fc0 sc1 ls0 ws0">以下内容<span class="_ _0"></span>由管理部门<span class="_ _0"></span>填写：</div></div><div class="c x5 y1d w10 h10"><div class="t m0 x1d h6 y1e ff3 fs2 fc0 sc0 ls0 ws0">实验序号</div></div><div class="c x1e y1d w11 h10"><div class="t m0 x1f ha y1f ff1 fs2 fc0 sc0 ls0 ws0">7</div></div><div class="c x20 y1d w12 h10"><div class="t m0 x8 h6 y1e ff3 fs2 fc0 sc0 ls0 ws0">课程编号</div></div><div class="c x21 y1d w13 h10"><div class="t m0 x22 h6 y1e ff3 fs2 fc0 sc0 ls0 ws0">专业分类号</div></div><div class="c x5 y20 w10 he"><div class="t m0 xe h6 y21 ff3 fs2 fc0 sc0 ls0 ws0">教研室主任签字</div></div><div class="c x20 y20 w12 he"><div class="t m0 x12 h6 y21 ff3 fs2 fc0 sc0 ls0 ws0">时间</div></div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div><div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/bg2.jpg"><div class="c x1 y1 w2 h2"><div class="t m0 x0 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">2</div></div><div class="t m0 x23 hf y22 ff2 fs4 fc0 sc1 ls0 ws0">实验项目<span class="_ _7"> </span><span class="ff7 sc0">7 <span class="_ _3"> </span>Python<span class="_"> </span></span>功能<span class="_ _0"></span>展示</div><div class="t m0 x24 hd y23 ff2 fs3 fc0 sc1 ls0 ws0">一、实验目<span class="_ _0"></span>的及要求</div><div class="t m0 x24 hd y24 ff1 fs3 fc0 sc0 ls0 ws0">1.<span class="ff3">通过网络资源下载，理解客户端与服务器端的活动。</span></div><div class="t m0 x24 hd y25 ff1 fs3 fc0 sc0 ls0 ws0">2.<span class="ff3">通过文本分类或图像分类算法，理解人工智能算法特点。</span></div><div class="t m0 x24 hd y26 ff2 fs3 fc0 sc1 ls0 ws0">实验类型：<span class="_ _0"></span><span class="ff3 sc0">演示性实验<span class="ff1"> <span class="_ _8"> </span><span class="ff7"> <span class="_"> </span></span></span></span>实验学时：<span class="_ _0"></span><span class="ff1 sc0">6<span class="_"> </span><span class="ff3">学时</span> <span class="_ _9"> </span></span>实验人数：<span class="_ _0"></span><span class="ff1 sc0">1<span class="_"> </span><span class="ff3">人</span></span></div><div class="t m0 x24 hd y27 ff2 fs3 fc0 sc1 ls0 ws0">二、实验内<span class="_ _0"></span>容</div><div class="t m0 x24 hd y28 ff1 fs3 fc0 sc0 ls0 ws0">1.<span class="ff3">根据给定的<span class="_ _6"> </span></span>URL<span class="ff3">，利用<span class="_ _6"> </span></span>requests<span class="_"> </span><span class="ff3">和<span class="_ _6"> </span></span>BeautifulSoup<span class="_"> </span><span class="ff3">包下载文本信息。</span></div><div class="t m0 x24 hd y29 ff1 fs3 fc0 sc0 ls0 ws0">2.<span class="ff3">根据给定的<span class="_ _6"> </span></span>URL<span class="ff3">，<span class="_ _a"></span>利用<span class="_ _6"> </span><span class="ff1">os</span>、<span class="_ _a"></span><span class="ff1">requests<span class="ff3">、<span class="_ _a"></span><span class="ff1">BeautifulSoup<span class="_"> </span><span class="ff3">和<span class="_ _6"> </span></span>urlretrieve<span class="_"> </span><span class="ff3">包</span></span></span></span></span></div><div class="t m0 x24 hd y2a ff3 fs3 fc0 sc0 ls0 ws0">下载并保存图片信息。</div><div class="t m0 x24 hd y2b ff1 fs3 fc0 sc0 ls0 ws0">3.<span class="ff3">基于<span class="_ _6"> </span></span>Python<span class="_"> </span><span class="ff3">和经典的数据挖掘算法<span class="_ _b"></span>：<span class="_ _b"></span>朴素贝叶斯、支持向量机、决</span></div><div class="t m0 x24 hd y2c ff3 fs3 fc0 sc0 ls0 ws0">策树、随机森林、逻辑回归，在水果数据集实现水果图像分类。</div><div class="t m0 x24 hd y2d ff2 fs3 fc0 sc1 ls0 ws0">三、实验条<span class="_ _0"></span>件</div><div class="t m0 x25 hd y2e ff1 fs3 fc0 sc0 ls0 ws0">Windows 7<span class="_"> </span><span class="ff3">操作系统，</span>Python 3.8<span class="ff3">。</span></div><div class="t m0 x24 hd y2f ff2 fs3 fc0 sc1 ls0 ws0">四、实验相<span class="_ _0"></span>关知识点</div><div class="t m0 x25 hd y30 ff1 fs3 fc0 sc0 ls0 ws0">Requests<span class="ff3">：是使用</span> <span class="_"> </span>Apache2 Licensed <span class="_"> </span><span class="ff3">许可证的基于<span class="_ _6"> </span></span>Python<span class="_"> </span><span class="ff3">开发的</span></div><div class="t m0 x24 hd y31 ff1 fs3 fc0 sc0 ls0 ws0">HTTP <span class="_"> </span><span class="ff3">库<span class="_ _0"></span>，<span class="_ _0"></span>其在<span class="_ _c"> </span></span>Python<span class="_"> </span><span class="ff3">内<span class="_ _0"></span>置<span class="_ _0"></span>模块<span class="_ _0"></span>的<span class="_ _0"></span>基<span class="_ _0"></span>础上<span class="_ _0"></span>进<span class="_ _0"></span>行<span class="_ _0"></span>了高<span class="_ _0"></span>度<span class="_ _0"></span>的封<span class="_ _0"></span>装<span class="_ _0"></span>，<span class="_ _0"></span>从而</span></div><div class="t m0 x24 hd y32 ff3 fs3 fc0 sc0 ls0 ws0">使<span class="_ _0"></span>得<span class="_ _c"> </span><span class="ff1">Pythoner<span class="_"> </span></span>进<span class="_ _0"></span>行<span class="_ _0"></span>网<span class="_ _0"></span>络<span class="_ _0"></span>请<span class="_ _0"></span>求<span class="_ _0"></span>时<span class="_ _d"></span>，<span class="_ _0"></span>变<span class="_ _0"></span>得<span class="_ _0"></span>美<span class="_ _0"></span>好<span class="_ _0"></span>了<span class="_ _0"></span>许<span class="_ _0"></span>多<span class="_ _0"></span>，<span class="_ _0"></span>使<span class="_ _0"></span>用<span class="_ _c"> </span><span class="ff1">Requests<span class="_ _c"> </span></span>可</div><div class="t m0 x24 hd y33 ff3 fs3 fc0 sc0 ls0 ws0">以轻而易举的完成浏览器可有的任何操作。</div><div class="t m0 x25 hd y34 ff1 fs3 fc0 sc0 ls0 ws0">BeautifulSoup<span class="ff3">：<span class="_ _e"></span>是一个模块，<span class="_ _f"></span>该模块用于接收一个<span class="_ _6"> </span><span class="ff1">HTML<span class="_"> </span></span>或<span class="_ _6"> </span><span class="ff1">XML</span></span></div><div class="t m0 x24 hd y35 ff3 fs3 fc0 sc0 ls0 ws0">字符串，<span class="_ _f"></span>然后将其进行格式化，<span class="_ _f"></span>之后就可以使用他提供的方法进行快</div><div class="t m0 x24 hd y36 ff3 fs3 fc0 sc0 ls0 ws0">速查找指定元素，<span class="_ _10"></span>从而使得在<span class="_ _6"> </span><span class="ff1">HTML<span class="_"> </span></span>或<span class="_ _6"> </span><span class="ff1">XML<span class="_"> </span></span>中查找指定元素变得简</div><div class="t m0 x24 hd y37 ff3 fs3 fc0 sc0 ls0 ws0">单。</div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div><div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/bg3.jpg"><div class="c x1 y1 w2 h2"><div class="t m0 x0 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">3</div></div><div class="t m0 x24 hd y38 ff3 fs3 fc0 sc0 ls0 ws0">分类数据：实验用到的水果数据集由爱丁堡大学教授<span class="ff1"> <span class="_"> </span>Iain Murray <span class="_"> </span></span>所</div><div class="t m0 x24 hd y39 ff3 fs3 fc0 sc0 ls0 ws0">创。<span class="_ _11"></span>他买了很多种类的橙子、<span class="_ _11"></span>柠檬和苹果，<span class="_ _11"></span>并把它们的相关数据记录</div><div class="t m0 x24 hd y3a ff3 fs3 fc0 sc0 ls0 ws0">在表格中。然后密歇根大学的一些学者将这些水果数据编排了格式，</div><div class="t m0 x24 hd y3b ff3 fs3 fc0 sc0 ls0 ws0">数据已经提供，见附件。</div><div class="t m0 x24 hd y3c ff2 fs3 fc1 sc2 ls0 ws0">微<span class="_ _0"></span>信提<span class="_ _0"></span>示<span class="_ _0"></span>：<span class="_ _0"></span><span class="ff3 fc2 sc0">由<span class="_ _0"></span>于<span class="_ _c"> </span><span class="ff1">python<span class="_"> </span></span>版<span class="_ _0"></span>本差<span class="_ _0"></span>异<span class="_ _0"></span>问<span class="_ _0"></span>题，<span class="_ _0"></span>前<span class="_ _0"></span>两<span class="_ _0"></span>个实<span class="_ _0"></span>验<span class="_ _0"></span>如<span class="_ _0"></span>果没<span class="_ _0"></span>发<span class="_ _0"></span>运<span class="_ _0"></span>行，</span></div><div class="t m0 x24 hd y3d ff3 fs3 fc2 sc0 ls0 ws0">把<span class="_ _6"> </span><span class="ff1">lxml <span class="_"> </span></span>改成<span class="_ _6"> </span><span class="ff1">html</span></div><div class="t m0 x24 hd y3e ff2 fs3 fc0 sc1 ls0 ws0">五、实验步<span class="_ _0"></span>骤<span class="ff7 fc2 sc0">[<span class="ff2 sc3">或实验参<span class="_ _0"></span>考代码</span>]</span></div><div class="t m0 x24 hd y3f ff1 fs3 fc0 sc0 ls0 ws0">1.<span class="ff3">文本下载</span></div><div class="t m0 x24 h11 y40 ff1 fs3 fc0 sc0 ls0 ws0">import requests</div><div class="t m0 x24 h11 y41 ff1 fs3 fc0 sc0 ls0 ws0">from bs4 import BeautifulSoup</div><div class="t m0 x24 h11 y42 ff1 fs3 fc0 sc0 ls0 ws0">if __name__ == '__main__':</div><div class="t m0 x24 h11 y43 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>target <span class="_ _13"> </span>= </div><div class="t m0 x24 h11 y44 ff1 fs3 fc0 sc0 ls0 ws0">'https://www.cnr.cn/dj/rwft/20230629/t20230629_526308291.shtml'</div><div class="t m0 x24 h11 y45 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>req = requests.get(url=target)</div><div class="t m0 x24 h11 y46 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>req.encoding='gb2312'</div><div class="t m0 x24 h11 y47 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>html = req.text</div><div class="t m0 x24 h11 y48 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>bf = BeautifulSoup(html,'lxml')</div><div class="t m0 x24 hd y49 ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _2"> </span>##<span class="ff3">使用<span class="_ _6"> </span></span>find_all<span class="_"> </span><span class="ff3">方法</span>,<span class="ff3">获取<span class="_ _6"> </span></span>html<span class="_"> </span><span class="ff3">信息中所有<span class="_ _6"> </span></span>class<span class="_"> </span><span class="ff3">属性为<span class="_ _6"> </span></span>showtxt</div><div class="t m0 x24 hd y4a ff3 fs3 fc0 sc0 ls0 ws0">的<span class="_ _6"> </span><span class="ff1">div<span class="_"> </span></span>标签</div><div class="t m0 x24 hd y4b ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _2"> </span>##find_all<span class="_"> </span><span class="ff3">的<span class="_ _0"></span>第<span class="_ _0"></span>一<span class="_ _0"></span>个<span class="_ _0"></span>参<span class="_ _0"></span>数<span class="_ _0"></span>是<span class="_ _0"></span>获<span class="_ _0"></span>取<span class="_ _0"></span>的<span class="_ _0"></span>标签<span class="_ _0"></span>名<span class="_ _0"></span></span>,<span class="_ _0"></span><span class="ff3">第<span class="_ _0"></span>二<span class="_ _0"></span>个<span class="_ _0"></span>参<span class="_ _0"></span>数<span class="_ _c"> </span></span>class_<span class="ff3">是</span></div><div class="t m0 x24 hd y4c ff3 fs3 fc0 sc0 ls0 ws0">标签属性</div><div class="t m0 x24 hd y4d ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _2"> </span>##class<span class="_"> </span><span class="ff3">在<span class="_ _c"> </span></span>Python<span class="_"> </span><span class="ff3">中<span class="_ _0"></span>是关<span class="_ _0"></span>键<span class="_ _0"></span>字</span>,<span class="_ _0"></span><span class="ff3">所<span class="_ _0"></span>以<span class="_ _0"></span>用<span class="_ _6"> </span></span>class_<span class="_ _0"></span><span class="ff3">标<span class="_ _0"></span>识<span class="_ _6"> </span></span>class<span class="_ _c"> </span><span class="ff3">属性<span class="_ _0"></span></span>,,<span class="ff3">避</span></div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div><div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/bg4.jpg"><div class="c x1 y1 w2 h2"><div class="t m0 x0 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">4</div></div><div class="t m0 x24 hd y38 ff3 fs3 fc0 sc0 ls0 ws0">免冲突</div><div class="t m0 x24 h11 y4e ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>texts = bf.find_all('div',class_ = 'article-content')</div><div class="t m0 x26 h11 y4f ff1 fs3 fc0 sc0 ls0 ws0">print(texts[0].text)</div><div class="t m0 x26 hd y50 ff1 fs3 fc0 sc0 ls0 ws0">2.<span class="ff3">图片下载</span></div><div class="t m0 x24 h11 y51 ff1 fs3 fc0 sc0 ls0 ws0">import requests</div><div class="t m0 x24 h11 y52 ff1 fs3 fc0 sc0 ls0 ws0">import os</div><div class="t m0 x24 h11 y53 ff1 fs3 fc0 sc0 ls0 ws0">from bs4 import BeautifulSoup</div><div class="t m0 x24 h11 y54 ff1 fs3 fc0 sc0 ls0 ws0">from urllib.request import urlretrieve</div><div class="t m0 x24 h11 y41 ff1 fs3 fc0 sc0 ls0 ws0">url = 'http://www.onegreen.net/maps/List/List_787.html'</div><div class="t m0 x24 hd y55 ff1 fs3 fc0 sc0 ls0 ws0">os.makedirs('./img/', exist_ok=True) <span class="_ _8"> </span># <span class="_"> </span><span class="ff3">创建目录存放文件</span></div><div class="t m0 x24 hd y56 ff1 fs3 fc0 sc0 ls0 ws0">html = requests.get(url).text <span class="_ _8"> </span># <span class="_"> </span><span class="ff3">获取网页<span class="_ _6"> </span></span>html</div><div class="t m0 x24 h11 y45 ff1 fs3 fc0 sc0 ls0 ws0">soup = BeautifulSoup(html, 'lxml')</div><div class="t m0 x24 hd y57 ff1 fs3 fc0 sc0 ls0 ws0">img_url = <span class="_ _0"></span>soup.find_all('img') <span class="_ _c"> </span> <span class="_"> </span># <span class="_ _c"> </span><span class="ff3">获取<span class="_ _0"></span>所<span class="_ _0"></span>有<span class="_ _0"></span>的<span class="_ _6"> </span></span>img<span class="_ _c"> </span><span class="ff3">标签<span class="_ _0"></span></span>,<span class="_ _0"></span><span class="ff3">我<span class="_ _0"></span>在<span class="_ _0"></span>这<span class="_ _0"></span>里只<span class="_ _0"></span>是</span></div><div class="t m0 x24 hd y58 ff3 fs3 fc0 sc0 ls0 ws0">演示下载，所有不做进一步的筛选</div><div class="t m0 x24 h11 y48 ff1 fs3 fc0 sc0 ls0 ws0">print(len(img_url))</div><div class="t m0 x24 h11 y59 ff1 fs3 fc0 sc0 ls0 ws0">for url in img_url:</div><div class="t m0 x24 hd y5a ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>ul = url['src'] <span class="_ _8"> </span># <span class="_"> </span><span class="ff3">获取<span class="_ _6"> </span></span>src<span class="_"> </span><span class="ff3">属性</span></div><div class="t m0 x24 hd y4b ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>img = 'http://www.onegreen.net/' + ul <span class="_ _8"> </span># <span class="_"> </span><span class="ff3">补全图片<span class="_ _6"> </span></span>url</div><div class="t m0 x24 h11 y5b ff1 fs3 fc0 sc0 ls0 ws0"> <span class="_ _12"> </span>print(img)</div><div class="t m0 x26 hd y4d ff1 fs3 fc0 sc0 ls0 ws0">urlretrieve(img, './img/%s' % ul.split('/')[-1]) <span class="_ _8"> </span># <span class="_"> </span><span class="ff3">存储图片</span></div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div><div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90151305/bg5.jpg"><div class="c x1 y1 w2 h2"><div class="t m0 x0 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">5</div></div><div class="t m0 x26 hd y38 ff1 fs3 fc0 sc0 ls0 ws0">3.<span class="ff3">水果图像分类</span></div><div class="t m0 x24 hd y5c ff1 fs3 fc0 sc0 ls0 ws0">(1)<span class="ff3">数据分析</span></div><div class="t m0 x24 hd y5d ff3 fs3 fc0 sc0 ls0 ws0">先来看看这些数据的头几行，输入代码：</div><div class="t m0 x24 h12 y5e ff8 fs5 fc3 sc0 ls0 ws0">%matplotlib inline</div><div class="t m0 x24 h12 y5f ff8 fs5 fc3 sc0 ls0 ws0">import pandas as pd</div><div class="t m0 x24 h12 y60 ff8 fs5 fc3 sc0 ls0 ws0">import matplotlib.pyplot as plt</div><div class="t m0 x24 h12 y61 ff8 fs5 fc3 sc0 ls0 ws0">fruits = pd.read_table('fruit_data_with_colors.txt')</div><div class="t m0 x24 h12 y62 ff8 fs5 fc3 sc0 ls0 ws0">fruits.head()</div><div class="t m0 x24 h13 y63 ff9 fs6 fc3 sc0 ls0 ws0">结果如图：</div><div class="t m0 x24 h13 y64 ff9 fs6 fc3 sc0 ls0 ws0">数据集的每一行代表水果的一个种类，<span class="_ _11"></span>每个种类有几个特征，<span class="_ _11"></span>在图表中</div><div class="t m0 x24 h13 y65 ff9 fs6 fc3 sc0 ls0 ws0">以列表示。</div><div class="t m0 x24 h13 y66 ff9 fs6 fc3 sc0 ls0 ws0">在数据集中，一共有<span class="ffa"> <span class="_ _4"> </span>59 <span class="_ _14"> </span></span>个水果和<span class="ffa"> <span class="_ _4"> </span>7 <span class="_ _14"> </span></span>个特征：</div><div class="t m0 x24 h13 y67 ffa fs6 fc4 sc0 ls0 ws0">print(fruits.shape)</div><div class="t m1 x24 h14 y68 ffb fs7 fc4 sc0 ls0 ws0">(59, 7)</div><div class="t m0 x24 h13 y69 ff9 fs6 fc3 sc0 ls0 ws0">数据集中一共有<span class="ffa"> <span class="_ _4"> </span>4 <span class="_ _14"> </span></span>种水果：</div><div class="t m0 x24 h12 y6a ff8 fs5 fc3 sc0 ls0 ws0">print(fruits['fruit_name'].unique())</div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div>

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