code调用123.html和echarts.min.js文件
code.py
import web import execjs urls = ( '/hello', 'hello', ) app = web.application(urls, globals()) class hello: def GET(self): jsstr = get_js() ctx = execjs.compile(jsstr) # 加载JS文件 return open('123.html', encoding='utf-8') '''''' def get_js(): f = open("echarts.min.js", 'r', encoding='utf-8') # 打开JS文件 line = f.readline() htmlstr = '' while line: htmlstr = htmlstr+line line = f.readline() return htmlstr if __name__ == "__main__": app.run()
同目录下放123.html
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>小屁琦</title> <script type="text/javascript" src='echarts.min.js'></script> <link href="https://cdn.bootcss.com/bootstrap/3.3.7/css/bootstrap.min.css" rel="stylesheet"> <!-- 可选的Bootstrap主题文件（一般不使用） --> <!-- <script src="https://cdn.bootcss.com/bootstrap/3.3.7/css/bootstrap-theme.min.css"></script>--> <!-- jQuery文件。务必在bootstrap.min.js 之前引入 --> <script src="https://cdn.bootcss.com/jquery/2.1.1/jquery.min.js"></script> <!-- 最新的 Bootstrap 核心 JavaScript 文件 --> <script src="https://cdn.bootcss.com/bootstrap/3.3.7/js/bootstrap.min.js"></script> <body> <div class="container"> <div class="row clearfix"> <div class="col-md-12 column"> <nav class="navbar navbar-default" role="navigation"> <div class="navbar-header"> <button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1"> <span class="sr-only">Toggle navigation</span><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button> <a class="navbar-brand" href="#">Brand</a> </div> <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1"> <ul class="nav navbar-nav"> <li class="active"> <a href="#">Link</a> </li> <li> <a href="#">Link</a> </li> <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Dropdown<strong class="caret"></strong></a> <ul class="dropdown-menu"> <li> <a href="#">Action</a> </li> <li> <a href="#">Another action</a> </li> <li> <a href="#">Something else here</a> </li> <li class="divider"> </li> <li> <a href="#">Separated link</a> </li> <li class="divider"> </li> <li> <a href="#">One more separated link</a> </li> </ul> </li> </ul> <form class="navbar-form navbar-left" role="search"> <div class="form-group"> <input type="text" class="form-control" /> </div> <button type="submit" class="btn btn-default">Submit</button> </form> <ul class="nav navbar-nav navbar-right"> <li> <a href="#">Link</a> </li> <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Dropdown<strong class="caret"></strong></a> <ul class="dropdown-menu"> <li> <a href="#">Action</a> </li> <li> <a href="#">Another action</a> </li> <li> <a href="#">Something else here</a> </li> <li class="divider"> </li> <li> <a href="#">Separated link</a> </li> </ul> </li> </ul> </div> </nav> <div class="jumbotron"> <h1> Hello, 小郭琦! </h1> <p> 你干啥那 </p> <p> <a class="btn btn-primary btn-large" href="#">Learn more</a> </p> </div> <table class="table"> <thead> <tr> <th> 编号 </th> <th> 产品 </th> <th> 交付时间 </th> <th> 状态 </th> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> TB - Monthly </td> <td> 01/04/2012 </td> <td> Default </td> </tr> <tr class="success"> <td> 1 </td> <td> TB - Monthly </td> <td> 01/04/2012 </td> <td> Approved </td> </tr> <tr class="error"> <td> 2 </td> <td> TB - Monthly </td> <td> 02/04/2012 </td> <td> Declined </td> </tr> <tr class="warning"> <td> 3 </td> <td> TB - Monthly </td> <td> 03/04/2012 </td> <td> Pending </td> </tr> <tr class="info"> <td> 4 </td> <td> TB - Monthly </td> <td> 04/04/2012 </td> <td> Call in to confirm </td> </tr> </tbody> </table> </div> </div> <div class="row clearfix"> <div class="col-md-12 column"> <ul class="pagination"> <li> <a href="#">Prev</a> </li> <li> <a href="#">1</a> </li> <li> <a href="#">2</a> </li> <li> <a href="#">3</a> </li> <li> <a href="#">4</a> </li> <li> <a href="#">5</a> </li> <li> <a href="#">Next</a> </li> </ul> </div> </div> <div class="row clearfix"> <div class="col-md-6 column"> <div id="chart1" style="480px;height:480px;margin-top:60px"></div> </div> <div class="col-md-6 column"> <div id="chart2" style="600px;height:600px;"></div> </div> </div> <div class="row clearfix"> <div class="col-md-6 column"> <div id="chart4" style="550px;height:480px;margin-top:60px"></div> </div> <div class="col-md-6 column"> <div id="chart3" style="600px;height:480px;margin-top:60px"></div> </div> </div> </div> </body> <script type="text/javascript"> // 初始化图表标签 var myChart1 = echarts.init(document.getElementById('chart1')); var options1 ={ backgroundColor: '#2c343c', title: { text: 'Customized Pie', left: 'center', top: 20, textStyle: { color: '#ccc' } }, tooltip : { trigger: 'item', formatter: "{a} <br/>{b} : {c} ({d}%)" }, visualMap: { show: false, min: 80, max: 600, inRange: { colorLightness: [0, 1] } }, series : [ { name:'访问来源', type:'pie', radius : '55%', center: ['50%', '50%'], data:[ {value:335, name:'直接访问'}, {value:310, name:'邮件营销'}, {value:274, name:'联盟广告'}, {value:235, name:'视频广告'}, {value:400, name:'搜索引擎'} ].sort(function (a, b) { return a.value - b.value; }), roseType: 'radius', label: { normal: { textStyle: { color: 'rgba(255, 255, 255, 0.3)' } } }, labelLine: { normal: { lineStyle: { color: 'rgba(255, 255, 255, 0.3)' }, smooth: 0.2, length: 10, length2: 20 } }, itemStyle: { normal: { color: '#c23531', shadowBlur: 200, shadowColor: 'rgba(0, 0, 0, 0.5)' } }, animationType: 'scale', animationEasing: 'elasticOut', animationDelay: function (idx) { return Math.random() * 200; } } ] }; myChart1.setOption(options1); var myChart2 = echarts.init(document.getElementById('chart2')); var options2 ={ title : { text: '某地区蒸发量和降水量', subtext: '纯属虚构' }, tooltip : { trigger: 'axis' }, legend: { data:['蒸发量','降水量'] }, toolbox: { show : true, feature : { dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', data : ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'] } ], yAxis : [ { type : 'value' } ], series : [ { name:'蒸发量', type:'bar', data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3], markPoint : { data : [ {type : 'max', name: '最大值'}, {type : 'min', name: '最小值'} ] }, markLine : { data : [ {type : 'average', name: '平均值'} ] } }, { name:'降水量', type:'bar', data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3], markPoint : { data : [ {name : '年最高', value : 182.2, xAxis: 7, yAxis: 183}, {name : '年最低', value : 2.3, xAxis: 11, yAxis: 3} ] }, markLine : { data : [ {type : 'average', name : '平均值'} ] } } ] }; myChart2.setOption(options2); var myChart3 = echarts.init(document.getElementById('chart3')); var options3 ={ title: { text: '折线图堆叠' }, tooltip: { trigger: 'axis' }, legend: { data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'] }, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, toolbox: { feature: { saveAsImage: {} } }, xAxis: { type: 'category', boundaryGap: false, data: ['周一','周二','周三','周四','周五','周六','周日'] }, yAxis: { type: 'value' }, series: [ { name:'邮件营销', type:'line', stack: '总量', data:[120, 132, 101, 134, 90, 230, 210] }, { name:'联盟广告', type:'line', stack: '总量', data:[220, 182, 191, 234, 290, 330, 310] }, { name:'视频广告', type:'line', stack: '总量', data:[150, 232, 201, 154, 190, 330, 410] }, { name:'直接访问', type:'line', stack: '总量', data:[320, 332, 301, 334, 390, 330, 320] }, { name:'搜索引擎', type:'line', stack: '总量', data:[820, 932, 901, 934, 1290, 1330, 1320] } ] }; myChart3.setOption(options3); var myChart4 = echarts.init(document.getElementById('chart4')); var options4 = { title : { text: '男性女性身高体重分布', subtext: '抽样调查来自: Heinz 2003' }, grid: { left: '3%', right: '7%', bottom: '3%', containLabel: true }, tooltip : { // trigger: 'axis', showDelay : 0, formatter : function (params) { if (params.value.length > 1) { return params.seriesName + ' :<br/>' + params.value[0] + 'cm ' + params.value[1] + 'kg '; } else { return params.seriesName + ' :<br/>' + params.name + ' : ' + params.value + 'kg '; } }, axisPointer:{ show: true, type : 'cross', lineStyle: { type : 'dashed', width : 1 } } }, toolbox: { feature: { dataZoom: {}, { type: ['rect', 'polygon', 'clear'] } } }, { }, legend: { data: ['女性','男性'], left: 'center' }, xAxis : [ { type : 'value', scale:true, axisLabel : { formatter: '{value} cm' }, splitLine: { show: false } } ], yAxis : [ { type : 'value', scale:true, axisLabel : { formatter: '{value} kg' }, splitLine: { show: false } } ], series : [ { name:'女性', type:'scatter', data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6], [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0], [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8], [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8], [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0], [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8], [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6], [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3], [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8], [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3], [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3], [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0], [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7], [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5], [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2], [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8], [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9], [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2], [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4], [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4], [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2], [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0], [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0], [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4], [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4], [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5], [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5], [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2], [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2], [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3], [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5], [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4], [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6], [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8], [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1], [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5], [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2], [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6], [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0], [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0], [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9], [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1], [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4], [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7], [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5], [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8], [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0], [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9], [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6], [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8], [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3] ], markArea: { silent: true, itemStyle: { normal: { color: 'transparent', borderWidth: 1, borderType: 'dashed' } }, data: [[{ name: '女性分布区间', xAxis: 'min', yAxis: 'min' }, { xAxis: 'max', yAxis: 'max' }]] }, markPoint : { data : [ {type : 'max', name: '最大值'}, {type : 'min', name: '最小值'} ] }, markLine : { lineStyle: { normal: { type: 'solid' } }, data : [ {type : 'average', name: '平均值'}, { xAxis: 160 } ] } }, { name:'男性', type:'scatter', data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8], [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6], [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0], [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9], [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8], [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9], [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1], [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1], [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6], [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1], [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2], [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2], [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0], [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2], [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2], [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9], [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9], [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0], [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3], [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 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同目录下放 echarts.min.js文件
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运行效果：
