web
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index.html
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137
index.html
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<!doctype html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>重庆市气象大数据可视化分析系统</title>
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<script type="text/javascript" src="web/js/jquery.js"></script>
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<link rel="stylesheet" href="web/css/comon0.css">
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</head>
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<script>
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$(window).load(function () {
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$(".loading").fadeOut()
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})
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/****/
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$(document).ready(function () {
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var whei = $(window).width()
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$("html").css({fontSize: whei / 20})
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$(window).resize(function () {
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var whei = $(window).width()
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$("html").css({fontSize: whei / 20})
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});
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});
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</script>
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<script type="text/javascript" src="web/js/echarts.min.js"></script>
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<script language="JavaScript" src="web/js/js.js"></script>
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<body>
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<
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<div class="canvas" style="opacity: .2">
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<iframe frameborder="0" src="web/js/index.html" style="width: 100%; height: 100%"></iframe>
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</div>
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<div class="loading">
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<div class="loadbox"><img src="web/picture/loading.gif"> 页面加载中...</div>
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</div>
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<div class="head">
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<h1><a href=" " style="color: white">重庆市气象大数据可视化分析系统</a></h1>
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<div class="weather"><img src="web/picture/weather.png"><span>多云转小雨</span><span id="showTime"></span></div>
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<script>
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var t = null;
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t = setTimeout(time, 1000);//開始运行
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function time() {
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clearTimeout(t);//清除定时器
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dt = new Date();
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var y = dt.getFullYear();
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var mt = dt.getMonth() + 1;
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var day = dt.getDate();
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var h = dt.getHours();//获取时
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var m = dt.getMinutes();//获取分
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var s = dt.getSeconds();//获取秒
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document.getElementById("showTime").innerHTML = y + "年" + mt + "月" + day + "-" + h + "时" + m + "分" + s + "秒";
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t = setTimeout(time, 1000); //设定定时器，循环运行
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}
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</script>
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</div>
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<div class="mainbox">
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<ul class="clearfix">
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<li>
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<div class="boxall" style="height: 3.2rem">
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<div class="alltitle">重庆市过去 24 小时累计降雨量地区排名</div>
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<div class="allnav" id="echart1"></div>
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<div class="boxfoot"></div>
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</div>
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<div class="boxall" style="height: 3.2rem">
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<div class="alltitle">重庆市过去 12 个月气温分布图</div>
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<div class="allnav" id="echart2"></div>
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<div class="boxfoot"></div>
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</div>
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<div class="boxall" style="height: 3.2rem">
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<div style="height:100%; width: 100%;">
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<div class="sy" id="fb1"></div>
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<div class="sy" id="fb2"></div>
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<div class="sy" id="fb3"></div>
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</div>
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<div class="boxfoot">
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</div>
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</div>
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</li>
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<li>
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<div class="bar">
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<div class="barbox">
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<ul class="clearfix">
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<li class="pulll_left counter">43°c</li>
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<li class="pulll_left counter">51135mm</li>
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</ul>
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</div>
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<div class="barbox2">
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<ul class="clearfix">
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<li class="pulll_left">平均气温</li>
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<li class="pulll_left">平均降水</li>
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</ul>
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</div>
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</div>
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<div class="map">
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<div class="map1"><img src="web/picture/lbx.png"></div>
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<div class="map2"><img src="web/picture/jt.png"></div>
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<div class="map3"><img src="web/picture/map.png"></div>
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<div class="map4" id="map_1"></div>
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</div>
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</li>
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<li>
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<div class="boxall" style="height:3.4rem">
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<div class="alltitle">重庆市现在平均气温地区排名</div>
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<div class="allnav" id="echart4"></div>
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<div class="boxfoot"></div>
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</div>
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<div class="boxall" style="height: 3.2rem">
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<div class="alltitle">重庆市现在平均湿度地区排名</div>
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<div class="allnav" id="echart5"></div>
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<div class="boxfoot"></div>
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</div>
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<div class="boxall" style="height: 3rem">
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<div class="alltitle">重庆市空气质量地区排行</div>
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<div class="allnav" id="echart6"></div>
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<div class="boxfoot"></div>
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</div>
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</li>
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</ul>
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</div>
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<div class="back"></div>
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<script type="text/javascript" src="web/data/data.js"></script>
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<script type="text/javascript" src="web/js/chart1.js"></script>
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<script type="text/javascript" src="web/js/chart2.js"></script>
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<script type="text/javascript" src="web/js/chart31.js"></script>
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<script type="text/javascript" src="web/js/chart32.js"></script>
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<script type="text/javascript" src="web/js/chart33.js"></script>
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<script type="text/javascript" src="web/js/chart4.js"></script>
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<script type="text/javascript" src="web/js/chart5.js"></script>
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<script type="text/javascript" src="web/js/chart6.js"></script>
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<script type="text/javascript" src="web/js/chongqing.js"></script>
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<script type="text/javascript" src="web/js/area_echarts.js"></script>
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</body>
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</html>
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200
web/css/comon0.css
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web/css/comon0.css
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@charset "utf-8";
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/* CSS Document */
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*{
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-webkit-box-sizing: border-box;
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-moz-box-sizing: border-box;
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box-sizing: border-box}
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*,body{padding:0px; margin:0px;color: #222;font-family: "微软雅黑";}
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@font-face{font-family:electronicFont;src:url(../font/DS-DIGIT.TTF)}
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body{ background:#000d4a url(../images/bg.jpg) center top; background-size:cover;color:#666;font-size: .1rem;}
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li{ list-style-type:none;}
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table{}
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i{ margin:0px; padding:0px; text-indent:0px;}
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img{ border:none; max-width: 100%;}
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a{ text-decoration:none; color:#399bff;}
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a.active,a:focus{ outline:none!important; text-decoration:none;}
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ol,ul,p,h1,h2,h3,h4,h5,h6{ padding:0; margin:0}
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a:hover{ color:#06c; text-decoration: none!important}
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.clearfix:after, .clearfix:before {
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display: table;
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content: " "
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}
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.clearfix:after {
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clear: both
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}
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.pulll_left{float:left;}
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.pulll_right{float:right;}
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/*谷哥滚动条样式*/
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::-webkit-scrollbar {width:5px;height:5px;position:absolute}
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::-webkit-scrollbar-thumb {background-color:#5bc0de}
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::-webkit-scrollbar-track {background-color:#ddd}
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/***/
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.canvas{position: absolute; width:100%; left: 0; top: 0; height: 99%; z-index: 1;}
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.allnav{height: calc(100% - 30px);}
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.loading{position:fixed; left:0; top:0; font-size:18px; z-index:100000000;width:100%; height:100%; background:#1a1a1c; text-align:center;}
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.loadbox{position:absolute; width:160px;height:150px; color: #aaa; left:50%; top:50%; margin-top:-100px; margin-left:-75px;}
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.loadbox img{ margin:10px auto; display:block; width:40px;}
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.copyright{ background:rgba(19,31,64,.32); border: 1px solid rgba(255,255,255,.05); line-height:.5rem; text-align: center; padding-right: 15px; bottom: 0; color:rgba(255,255,255,.7); font-size: .16rem; }
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.head{ height:1.05rem; background: url(../images/head_bg.png) no-repeat center center; background-size: 100% 100%; position: relative; z-index: 100;}
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.head h1{ color:#fff; text-align: center; font-size: .4rem; line-height:.8rem;}
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.head h1 img{ width:1.5rem; display: inline-block; vertical-align: middle; margin-right: .2rem}
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.weather{ position:absolute; right:.3rem; top:0; line-height: .75rem;}
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.weather img{ width:.37rem; display: inline-block; vertical-align: middle;}
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.weather span{color:rgba(255,255,255,.7); font-size: .18rem; padding-right: .1rem;}
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.mainbox{ padding:.1rem .1rem 0rem .1rem;}
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.mainbox>ul{}
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.mainbox>ul>li{ float: left; padding: 0 .1rem}
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.mainbox>ul>li{ width: 30%}
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.mainbox>ul>li:nth-child(2){ width: 40%;padding: 0}
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.boxall{ border: 1px solid rgba(25,186,139,.17); padding:0 .2rem .4rem .15rem; background: rgba(255,255,255,.04) url(../images/line.png); background-size: 100% auto; position: relative; margin-bottom: .15rem; z-index: 10;}
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.boxall:before,
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.boxall:after{ position:absolute; width: .1rem; height: .1rem; content: ""; border-top: 2px solid #02a6b5; top: 0;}
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.boxall:before,.boxfoot:before{border-left: 2px solid #02a6b5;left: 0;}
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.boxall:after,.boxfoot:after{border-right: 2px solid #02a6b5; right: 0;}
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.alltitle{ font-size:.2rem; color:#fff; text-align: center; line-height: .5rem;}
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.boxfoot{ position:absolute; bottom: 0; width: 100%; left: 0;}
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.boxfoot:before,
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.boxfoot:after{ position:absolute; width: .1rem; height: .1rem; content: "";border-bottom: 2px solid #02a6b5; bottom: 0;}
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.bar{background:rgba(101,132,226,.1); padding: .15rem;}
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.barbox li,.barbox2 li{ width:50%; text-align: center; position: relative; z-index: 100;}
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.barbox:before,
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.barbox:after{ position:absolute; width: .3rem; height: .1rem; content: ""; }
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.barbox:before{border-left: 2px solid #02a6b5;left: 0;border-top: 2px solid #02a6b5; }
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.barbox:after{border-right: 2px solid #02a6b5; right: 0; bottom: 0;border-bottom: 2px solid #02a6b5; }
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.barbox li:first-child:before{ position:absolute; content: ""; height:50%; width: 1px; background: rgba(255,255,255,.2); right: 0; top: 25%;}
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.barbox{ border: 1px solid rgba(25,186,139,.17); position: relative;}
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.barbox li{ font-size: .7rem; color: #ffeb7b; padding: .05rem 0; font-family:electronicFont; font-weight: bold;}
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.barbox2 li{ font-size: .19rem; color:rgba(255,255,255,.7); padding-top: .1rem;}
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.map{ position:relative; height: 7.2rem; z-index: 9;}
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.map4{ width: 200%; height:7rem; position: relative; left: -50%; top: 4%; margin-top: .2rem; z-index: 5;}
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.map1,.map2,.map3{ position:absolute; opacity: .5}
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.map1{ width:6.43rem; z-index: 2;top:.45rem; left: .7rem; animation: myfirst2 15s infinite linear;}
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.map2{ width:5.66rem; top:.85rem; left:1.2rem; z-index: 3; opacity: 0.2; animation: myfirst 10s infinite linear;}
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.map3{ width:5.18rem; top:1.07rem; left: 1.4rem; z-index: 1;}
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.tabs { text-align: center; padding: .1rem 0 0 0;}
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.tabs a {
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position: relative;
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display: inline-block;
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margin-left: 1px;
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padding:.05rem .2rem;
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color: #898989;
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transition: all .3s ease-out 0s;
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font-size: 14px;
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}
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.tabs li{ display:inline-block;}
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.tabs a:after {
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position: absolute;
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width: 1px;
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height: 10px;
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background-color: rgba(255,255,255,.1);
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content: '';
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margin-left:0; right:-1px; margin-top: 7px;
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}
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.tabs li a.active {border: 1px solid rgba(25,186,139,.17); background: rgba(255,255,255,.05); color:#fff;}
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.tit02{ text-align:center; margin: .1rem 0; position: relative}
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.tit02 span{border: 1px solid rgba(25,186,139,.17); letter-spacing: 2px; padding: .01rem .2rem; background: rgba(255,255,255,.05); font-size: .18rem; color: #49bcf7;}
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.tit02:before,.tit02:after{ position:absolute; width:26%; height: 1px;background: rgba(25,186,139,.2); content: ""; top: .12rem;}
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.tit02:after{ right:0;}
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.tit02:before{ left:0;}
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.wrap{ height:2.54rem; overflow: hidden;}
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.wrap li{ line-height:.42rem; height:.42rem; font-size: .18rem; text-indent: .24rem; margin-bottom: .1rem; }
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.wrap li p{border: 1px solid rgba(25,186,139,.17);color: rgba(255,255,255,.6); }
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.sy{ float:left; width: 33%; height:95%; margin-top: .25rem;}
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.adduser{ height:1.5rem; overflow: hidden;}
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.adduser li{height:.5rem;}
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.adduser img{ width: .40rem; border-radius: .5rem; margin-right: .1rem; display: inline-block; vertical-align: middle;}
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.adduser span{ line-height:.5rem; font-size: .18rem;color: rgba(255,255,255,.6); }
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.sycm ul{ margin-left:-.5rem;margin-right:-.5rem; padding: .16rem 0;}
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.sycm li{ float: left; width: 33.33%; text-align: center; position: relative}
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.sycm li:before{ position:absolute; content: ""; height:30%; width: 1px; background: rgba(255,255,255,.1); right: 0; top: 15%;}
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.sycm li:last-child:before{ width: 0;}
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.sycm li h2{ font-size:.3rem; color: #c5ccff;}
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.sycm li span{ font-size:.18rem; color: #fff; opacity: .5;}
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@keyframes myfirst2
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{
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from {transform: rotate(0deg);}
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to {transform: rotate(359deg);}
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}
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@keyframes myfirst
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{
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from {transform: rotate(0deg);}
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to {transform: rotate(-359deg);}
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}
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/*Plugin CSS*/
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.str_wrap {
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overflow:hidden;
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width:100%;
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position:relative;
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-moz-user-select: none;
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-khtml-user-select: none;
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user-select: none;
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white-space:nowrap;
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}
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.str_move {
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white-space:nowrap;
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position:absolute;
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top:0;
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left:0;
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cursor:move;
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}
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.str_move_clone {
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display:inline-block;
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vertical-align:top;
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position:absolute;
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left:100%;
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top:0;
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}
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.str_vertical .str_move_clone {
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left:0;
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top:100%;
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}
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.str_down .str_move_clone {
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left:0;
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bottom:100%;
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}
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.str_vertical .str_move,
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.str_down .str_move {
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white-space:normal;
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width:100%;
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}
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.str_static .str_move,
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.no_drag .str_move,
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.noStop .str_move{
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cursor:inherit;
|
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}
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.str_wrap img {
|
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max-width:none !important;
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}
|
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26
web/data/aqi_data.py
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26
web/data/aqi_data.py
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import json
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from sqlalchemy import text
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def aqi_data(session):
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query2 = text('''
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SELECT city_name,aqi,sqiText
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FROM aqi_now_analyse''')
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data = session.execute(query2).fetchall()
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data1 = []
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for idx, row in enumerate(data):
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data1.append(
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{
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"name": row[0],
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"value": [idx + 1, float(row[1]), row[2]],
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}
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)
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# Serialize the list of dictionaries to JSON
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data = json.dumps(data1, ensure_ascii=False, indent=4)
|
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|
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# 将 JSON 数据写入 JavaScript 文件
|
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with open('data.js', 'a', encoding='utf-8') as js_file:
|
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js_file.write('const Chart6_Data = ')
|
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js_file.write(data)
|
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js_file.write("\n\n")
|
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42
web/data/aqi_pie.py
Normal file
42
web/data/aqi_pie.py
Normal file
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import json
|
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|
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from sqlalchemy import text
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|
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def aqi_pie(session):
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query2 = text('''
|
||||
SELECT city_name,sqiText
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FROM aqi_now_analyse''')
|
||||
data = session.execute(query2).fetchall()
|
||||
|
||||
color_map = {
|
||||
"优": "#065aab",
|
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"良": "#066eab",
|
||||
"轻度污染": "#0696ab",
|
||||
}
|
||||
|
||||
info_map = {}
|
||||
for row in data:
|
||||
if row[1] not in info_map:
|
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info_map[row[1]] = []
|
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info_map[row[1]].append(row[0])
|
||||
|
||||
data1 = []
|
||||
for k, v in info_map.items():
|
||||
data1.append(
|
||||
{
|
||||
"value": len(v),
|
||||
"name": k,
|
||||
"degree": v,
|
||||
"color": color_map.get(k, "#065aab"),
|
||||
}
|
||||
)
|
||||
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(data1, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart32_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
504
web/data/data.js
Normal file
504
web/data/data.js
Normal file
@ -0,0 +1,504 @@
|
||||
const Chart1_Data = {
|
||||
"x": [
|
||||
"酉阳",
|
||||
"秀山",
|
||||
"万盛",
|
||||
"南川",
|
||||
"渝北",
|
||||
"长寿",
|
||||
"合川"
|
||||
],
|
||||
"y": [
|
||||
1.8,
|
||||
1.5,
|
||||
1.2,
|
||||
0.3,
|
||||
0.3,
|
||||
0.2,
|
||||
0.1
|
||||
]
|
||||
}
|
||||
|
||||
const Chart2_Data = {
|
||||
"x": [
|
||||
"7 月",
|
||||
"8 月",
|
||||
"9 月",
|
||||
"10 月",
|
||||
"11 月",
|
||||
"12 月",
|
||||
"1 月",
|
||||
"2 月",
|
||||
"3 月",
|
||||
"4 月",
|
||||
"5 月",
|
||||
"6 月"
|
||||
],
|
||||
"y1": [
|
||||
35.31,
|
||||
35.22,
|
||||
30.66,
|
||||
25.25,
|
||||
19.84,
|
||||
13.81,
|
||||
11.41,
|
||||
15.03,
|
||||
21.12,
|
||||
26.97,
|
||||
28.06,
|
||||
26.59
|
||||
],
|
||||
"y2": [
|
||||
22.5,
|
||||
21.97,
|
||||
18.0,
|
||||
13.19,
|
||||
8.53,
|
||||
4.09,
|
||||
3.88,
|
||||
4.59,
|
||||
7.59,
|
||||
12.0,
|
||||
16.56,
|
||||
19.34
|
||||
],
|
||||
"y3": [
|
||||
28.47,
|
||||
28.36,
|
||||
24.1,
|
||||
18.45,
|
||||
13.87,
|
||||
8.69,
|
||||
7.2,
|
||||
9.62,
|
||||
13.48,
|
||||
18.41,
|
||||
22.28,
|
||||
22.97
|
||||
]
|
||||
}
|
||||
|
||||
const Chart4_Data = {
|
||||
"x": [
|
||||
"璧山",
|
||||
"荣昌",
|
||||
"梁平",
|
||||
"永川",
|
||||
"云阳",
|
||||
"北碚",
|
||||
"垫江"
|
||||
],
|
||||
"y": [
|
||||
25.9,
|
||||
25.2,
|
||||
25.1,
|
||||
25.1,
|
||||
25.1,
|
||||
24.9,
|
||||
24.9
|
||||
]
|
||||
}
|
||||
|
||||
const Chart5_Data = {
|
||||
"x": [
|
||||
"秀山",
|
||||
"忠县",
|
||||
"大足",
|
||||
"万州",
|
||||
"开州",
|
||||
"酉阳",
|
||||
"丰都"
|
||||
],
|
||||
"y": [
|
||||
94.0,
|
||||
85.0,
|
||||
84.0,
|
||||
81.0,
|
||||
79.0,
|
||||
78.0,
|
||||
77.0
|
||||
]
|
||||
}
|
||||
|
||||
const Chart6_Data = [
|
||||
{
|
||||
"name": "奉节",
|
||||
"value": [
|
||||
1,
|
||||
33.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "黔江",
|
||||
"value": [
|
||||
2,
|
||||
33.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "巴南",
|
||||
"value": [
|
||||
3,
|
||||
37.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "北碚",
|
||||
"value": [
|
||||
4,
|
||||
40.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "城口",
|
||||
"value": [
|
||||
5,
|
||||
38.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "大足",
|
||||
"value": [
|
||||
6,
|
||||
58.0,
|
||||
"良"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "合川",
|
||||
"value": [
|
||||
7,
|
||||
40.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "江津",
|
||||
"value": [
|
||||
8,
|
||||
37.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "开州",
|
||||
"value": [
|
||||
9,
|
||||
31.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "荣昌",
|
||||
"value": [
|
||||
10,
|
||||
36.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "沙坪坝",
|
||||
"value": [
|
||||
11,
|
||||
44.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "铜梁",
|
||||
"value": [
|
||||
12,
|
||||
52.0,
|
||||
"良"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "万盛",
|
||||
"value": [
|
||||
13,
|
||||
37.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "巫山",
|
||||
"value": [
|
||||
14,
|
||||
33.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "巫溪",
|
||||
"value": [
|
||||
15,
|
||||
33.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "秀山",
|
||||
"value": [
|
||||
16,
|
||||
8.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "永川",
|
||||
"value": [
|
||||
17,
|
||||
38.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "酉阳",
|
||||
"value": [
|
||||
18,
|
||||
8.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "渝北",
|
||||
"value": [
|
||||
19,
|
||||
38.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "云阳",
|
||||
"value": [
|
||||
20,
|
||||
33.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "潼南",
|
||||
"value": [
|
||||
21,
|
||||
44.0,
|
||||
"优"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "璧山",
|
||||
"value": [
|
||||
22,
|
||||
52.0,
|
||||
"良"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "綦江",
|
||||
"value": [
|
||||
23,
|
||||
53.0,
|
||||
"良"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
||||
const Chart31_Data = [
|
||||
{
|
||||
"value": 5,
|
||||
"name": "多云",
|
||||
"weather": [
|
||||
"奉节",
|
||||
"大足",
|
||||
"荣昌",
|
||||
"巫山",
|
||||
"永川"
|
||||
],
|
||||
"color": "#06c8ab"
|
||||
},
|
||||
{
|
||||
"value": 28,
|
||||
"name": "晴",
|
||||
"weather": [
|
||||
"涪陵",
|
||||
"黔江",
|
||||
"巴南",
|
||||
"北碚",
|
||||
"长寿",
|
||||
"城口",
|
||||
"垫江",
|
||||
"丰都",
|
||||
"合川",
|
||||
"江津",
|
||||
"开州",
|
||||
"梁平",
|
||||
"彭水",
|
||||
"沙坪坝",
|
||||
"石柱",
|
||||
"铜梁",
|
||||
"万盛",
|
||||
"万州",
|
||||
"巫溪",
|
||||
"武隆",
|
||||
"秀山",
|
||||
"酉阳",
|
||||
"渝北",
|
||||
"云阳",
|
||||
"忠县",
|
||||
"潼南",
|
||||
"璧山",
|
||||
"綦江"
|
||||
],
|
||||
"color": "#065aab"
|
||||
}
|
||||
]
|
||||
|
||||
const Chart32_Data = [
|
||||
{
|
||||
"value": 19,
|
||||
"name": "优",
|
||||
"degree": [
|
||||
"奉节",
|
||||
"黔江",
|
||||
"巴南",
|
||||
"北碚",
|
||||
"城口",
|
||||
"合川",
|
||||
"江津",
|
||||
"开州",
|
||||
"荣昌",
|
||||
"沙坪坝",
|
||||
"万盛",
|
||||
"巫山",
|
||||
"巫溪",
|
||||
"秀山",
|
||||
"永川",
|
||||
"酉阳",
|
||||
"渝北",
|
||||
"云阳",
|
||||
"潼南"
|
||||
],
|
||||
"color": "#065aab"
|
||||
},
|
||||
{
|
||||
"value": 4,
|
||||
"name": "良",
|
||||
"degree": [
|
||||
"大足",
|
||||
"铜梁",
|
||||
"璧山",
|
||||
"綦江"
|
||||
],
|
||||
"color": "#066eab"
|
||||
}
|
||||
]
|
||||
|
||||
const Chart33_Data = [
|
||||
{
|
||||
"value": 6,
|
||||
"name": "3 m/s",
|
||||
"degree": [
|
||||
"奉节",
|
||||
"合川",
|
||||
"开州",
|
||||
"铜梁",
|
||||
"万盛",
|
||||
"云阳"
|
||||
],
|
||||
"detail": [
|
||||
2.1,
|
||||
2.3,
|
||||
2.7,
|
||||
2.3,
|
||||
2.1,
|
||||
2.3
|
||||
],
|
||||
"color": "#065aab"
|
||||
},
|
||||
{
|
||||
"value": 17,
|
||||
"name": "2 m/s",
|
||||
"degree": [
|
||||
"涪陵",
|
||||
"长寿",
|
||||
"城口",
|
||||
"垫江",
|
||||
"江津",
|
||||
"梁平",
|
||||
"荣昌",
|
||||
"沙坪坝",
|
||||
"石柱",
|
||||
"万州",
|
||||
"巫山",
|
||||
"秀山",
|
||||
"永川",
|
||||
"酉阳",
|
||||
"渝北",
|
||||
"璧山",
|
||||
"綦江"
|
||||
],
|
||||
"detail": [
|
||||
1.5,
|
||||
2.0,
|
||||
1.2,
|
||||
1.4,
|
||||
1.4,
|
||||
1.7,
|
||||
1.2,
|
||||
1.2,
|
||||
1.4,
|
||||
1.8,
|
||||
1.5,
|
||||
1.7,
|
||||
1.5,
|
||||
1.7,
|
||||
1.6,
|
||||
1.5,
|
||||
1.3
|
||||
],
|
||||
"color": "#06c8ab"
|
||||
},
|
||||
{
|
||||
"value": 9,
|
||||
"name": "1 m/s",
|
||||
"degree": [
|
||||
"黔江",
|
||||
"巴南",
|
||||
"大足",
|
||||
"丰都",
|
||||
"彭水",
|
||||
"巫溪",
|
||||
"武隆",
|
||||
"忠县",
|
||||
"潼南"
|
||||
],
|
||||
"detail": [
|
||||
1.0,
|
||||
0.5,
|
||||
0.8,
|
||||
1.0,
|
||||
0.9,
|
||||
0.6,
|
||||
0.8,
|
||||
0.9,
|
||||
0.7
|
||||
],
|
||||
"color": "#0696ab"
|
||||
},
|
||||
{
|
||||
"value": 1,
|
||||
"name": "4 m/s",
|
||||
"degree": [
|
||||
"北碚"
|
||||
],
|
||||
"detail": [
|
||||
3.8
|
||||
],
|
||||
"color": "#065aab"
|
||||
}
|
||||
]
|
||||
|
||||
22
web/data/hum_now.py
Normal file
22
web/data/hum_now.py
Normal file
@ -0,0 +1,22 @@
|
||||
import json
|
||||
|
||||
from sqlalchemy import text
|
||||
|
||||
|
||||
def hum_now(session):
|
||||
query2 = text('SELECT city_name,humidity FROM tem_now_analyse ORDER BY humidity DESC LIMIT 7')
|
||||
data = session.execute(query2).fetchall()
|
||||
x = []
|
||||
y = []
|
||||
for i in data:
|
||||
x.append(i[0])
|
||||
y.append(float(i[1]))
|
||||
dict_list = {"x": x, "y": y}
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(dict_list, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart5_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
43
web/data/info.py
Normal file
43
web/data/info.py
Normal file
@ -0,0 +1,43 @@
|
||||
import json
|
||||
|
||||
from sqlalchemy import text
|
||||
|
||||
|
||||
def info(session):
|
||||
query2 = text('''
|
||||
SELECT city_name, info
|
||||
FROM tem_now_analyse
|
||||
''')
|
||||
data = session.execute(query2).fetchall()
|
||||
|
||||
color_map = {
|
||||
"晴": "#065aab",
|
||||
"多云": "#06c8ab",
|
||||
"雨": "#0696ab",
|
||||
}
|
||||
|
||||
info_map = {}
|
||||
for row in data:
|
||||
if row[1] not in info_map:
|
||||
info_map[row[1]] = []
|
||||
info_map[row[1]].append(row[0])
|
||||
|
||||
data1 = []
|
||||
for k, v in info_map.items():
|
||||
data1.append(
|
||||
{
|
||||
"value": len(v),
|
||||
"name": k,
|
||||
"weather": v,
|
||||
"color": color_map.get(k, "#065aab"),
|
||||
}
|
||||
)
|
||||
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(data1, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart31_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
29
web/data/main.py
Normal file
29
web/data/main.py
Normal file
@ -0,0 +1,29 @@
|
||||
from sqlalchemy import create_engine
|
||||
from sqlmodel import Session
|
||||
|
||||
from rain import rain
|
||||
from temp_24 import tem_24
|
||||
from temp_now import tem_now
|
||||
from hum_now import hum_now
|
||||
from aqi_data import aqi_data
|
||||
from info import info
|
||||
from aqi_pie import aqi_pie
|
||||
from wind import wind
|
||||
|
||||
engine = create_engine("mysql://root:123456@localhost:3306/weather") # 替换为您的数据库 URI
|
||||
session = Session(engine)
|
||||
|
||||
|
||||
def main():
|
||||
rain(session)
|
||||
tem_24(session)
|
||||
tem_now(session)
|
||||
hum_now(session)
|
||||
aqi_data(session)
|
||||
info(session)
|
||||
aqi_pie(session)
|
||||
wind(session)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
26
web/data/rain.py
Normal file
26
web/data/rain.py
Normal file
@ -0,0 +1,26 @@
|
||||
from sqlalchemy import text
|
||||
import json
|
||||
|
||||
|
||||
def rain(session):
|
||||
# 使用 text() 构造您的 SQL 查询
|
||||
query = text('SELECT city_name,rain24h FROM rain_24h_analyse ORDER BY rain24h DESC LIMIT 7')
|
||||
|
||||
# 降水排行
|
||||
rain = session.execute(query).fetchall()
|
||||
|
||||
x = []
|
||||
y = []
|
||||
for i in rain:
|
||||
x.append(i[0])
|
||||
y.append(float(i[1]))
|
||||
|
||||
dict_list = {"x": x, "y": y}
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(dict_list, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'w', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart1_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
37
web/data/temp_24.py
Normal file
37
web/data/temp_24.py
Normal file
@ -0,0 +1,37 @@
|
||||
import json
|
||||
|
||||
from sqlalchemy import text
|
||||
|
||||
|
||||
def get_month(date: int) -> str:
|
||||
month = date % 100
|
||||
return f"{month} 月"
|
||||
|
||||
|
||||
def tem_24(session):
|
||||
query2 = text('''
|
||||
SELECT date, AVG(hmax),AVG(hmin),AVG(havg) AS average_havg
|
||||
FROM tem_2024_analyse
|
||||
GROUP BY date
|
||||
ORDER BY date
|
||||
DESC LIMIT 12
|
||||
''')
|
||||
data = session.execute(query2).fetchall()
|
||||
x = []
|
||||
y1 = []
|
||||
y2 = []
|
||||
y3 = []
|
||||
for i in data[::-1]:
|
||||
x.append(get_month(i[0]))
|
||||
y1.append(round(float(i[1]), 2))
|
||||
y2.append(round(float(i[2]), 2))
|
||||
y3.append(round(float(i[3]), 2))
|
||||
dict_list = {"x": x, "y1": y1, "y2": y2, "y3": y3}
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(dict_list, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart2_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
22
web/data/temp_now.py
Normal file
22
web/data/temp_now.py
Normal file
@ -0,0 +1,22 @@
|
||||
import json
|
||||
|
||||
from sqlalchemy import text
|
||||
|
||||
|
||||
def tem_now(session):
|
||||
query2 = text('SELECT city_name,temperature FROM tem_now_analyse ORDER BY temperature DESC LIMIT 7')
|
||||
data = session.execute(query2).fetchall()
|
||||
x = []
|
||||
y = []
|
||||
for i in data:
|
||||
x.append(i[0])
|
||||
y.append(float(i[1]))
|
||||
dict_list = {"x": x, "y": y}
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(dict_list, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart4_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
45
web/data/wind.py
Normal file
45
web/data/wind.py
Normal file
@ -0,0 +1,45 @@
|
||||
import json
|
||||
import math
|
||||
|
||||
from sqlalchemy import text
|
||||
|
||||
|
||||
def wind(session):
|
||||
query2 = text('''
|
||||
SELECT city_name, wind_speed
|
||||
FROM tem_now_analyse
|
||||
''')
|
||||
data = session.execute(query2).fetchall()
|
||||
|
||||
color_map = {
|
||||
0: "#065aab",
|
||||
2: "#06c8ab",
|
||||
1: "#0696ab",
|
||||
}
|
||||
|
||||
info_map = {}
|
||||
for row in data:
|
||||
if math.ceil(row[1]) not in info_map:
|
||||
info_map[math.ceil(row[1])] = []
|
||||
info_map[math.ceil(row[1])].append([row[0], row[1]])
|
||||
|
||||
data1 = []
|
||||
for k, v in info_map.items():
|
||||
data1.append(
|
||||
{
|
||||
"value": len(v),
|
||||
"name": f"{k} m/s",
|
||||
"degree": [i[0] for i in v],
|
||||
"detail": [i[1] for i in v],
|
||||
"color": color_map.get(k, "#065aab"),
|
||||
}
|
||||
)
|
||||
|
||||
# Serialize the list of dictionaries to JSON
|
||||
data = json.dumps(data1, ensure_ascii=False, indent=4)
|
||||
|
||||
# 将 JSON 数据写入 JavaScript 文件
|
||||
with open('data.js', 'a', encoding='utf-8') as js_file:
|
||||
js_file.write('const Chart33_Data = ')
|
||||
js_file.write(data)
|
||||
js_file.write("\n\n")
|
||||
BIN
web/font/DS-DIGIT.TTF
Normal file
BIN
web/font/DS-DIGIT.TTF
Normal file
Binary file not shown.
BIN
web/images/bg.jpg
Normal file
BIN
web/images/bg.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 252 KiB |
BIN
web/images/head_bg.png
Normal file
BIN
web/images/head_bg.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 7.7 KiB |
BIN
web/images/line(1).png
Normal file
BIN
web/images/line(1).png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 3.9 KiB |
328
web/js/area_echarts.js
Normal file
328
web/js/area_echarts.js
Normal file
@ -0,0 +1,328 @@
|
||||
|
||||
$(function () {
|
||||
map();
|
||||
function map() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('map_1'));
|
||||
data = [
|
||||
{name: '北碚', value: 279},
|
||||
{name: '城口', value: 12},
|
||||
{name: '大足', value: 33},
|
||||
{name: '垫江', value: 54}
|
||||
|
||||
];
|
||||
var geoCoordMap = {
|
||||
'海门':[121.15,31.89],
|
||||
'鄂尔多斯':[109.781327,39.608266],
|
||||
'招远':[120.38,37.35],
|
||||
'舟山':[122.207216,29.985295],
|
||||
'齐齐哈尔':[123.97,47.33],
|
||||
'盐城':[120.13,33.38],
|
||||
'赤峰':[118.87,42.28],
|
||||
'青岛':[120.33,36.07],
|
||||
'乳山':[121.52,36.89],
|
||||
'金昌':[102.188043,38.520089],
|
||||
'泉州':[118.58,24.93],
|
||||
'莱西':[120.53,36.86],
|
||||
'日照':[119.46,35.42],
|
||||
'胶南':[119.97,35.88],
|
||||
'南通':[121.05,32.08],
|
||||
'拉萨':[91.11,29.97],
|
||||
'云浮':[112.02,22.93],
|
||||
'梅州':[116.1,24.55],
|
||||
'文登':[122.05,37.2],
|
||||
'上海':[121.48,31.22],
|
||||
'攀枝花':[101.718637,26.582347],
|
||||
'威海':[122.1,37.5],
|
||||
'承德':[117.93,40.97],
|
||||
'厦门':[118.1,24.46],
|
||||
'汕尾':[115.375279,22.786211],
|
||||
'潮州':[116.63,23.68],
|
||||
'丹东':[124.37,40.13],
|
||||
'太仓':[121.1,31.45],
|
||||
'曲靖':[103.79,25.51],
|
||||
'烟台':[121.39,37.52],
|
||||
'福州':[119.3,26.08],
|
||||
'瓦房店':[121.979603,39.627114],
|
||||
'即墨':[120.45,36.38],
|
||||
'抚顺':[123.97,41.97],
|
||||
'玉溪':[102.52,24.35],
|
||||
'张家口':[114.87,40.82],
|
||||
'阳泉':[113.57,37.85],
|
||||
'莱州':[119.942327,37.177017],
|
||||
'湖州':[120.1,30.86],
|
||||
'汕头':[116.69,23.39],
|
||||
'昆山':[120.95,31.39],
|
||||
'宁波':[121.56,29.86],
|
||||
'湛江':[110.359377,21.270708],
|
||||
'揭阳':[116.35,23.55],
|
||||
'荣成':[122.41,37.16],
|
||||
'连云港':[119.16,34.59],
|
||||
'葫芦岛':[120.836932,40.711052],
|
||||
'常熟':[120.74,31.64],
|
||||
'东莞':[113.75,23.04],
|
||||
'河源':[114.68,23.73],
|
||||
'淮安':[119.15,33.5],
|
||||
'泰州':[119.9,32.49],
|
||||
'南宁':[108.33,22.84],
|
||||
'营口':[122.18,40.65],
|
||||
'惠州':[114.4,23.09],
|
||||
'江阴':[120.26,31.91],
|
||||
'蓬莱':[120.75,37.8],
|
||||
'韶关':[113.62,24.84],
|
||||
'嘉峪关':[98.289152,39.77313],
|
||||
'广州':[113.23,23.16],
|
||||
'延安':[109.47,36.6],
|
||||
'太原':[112.53,37.87],
|
||||
'清远':[113.01,23.7],
|
||||
'中山':[113.38,22.52],
|
||||
'昆明':[102.73,25.04],
|
||||
'寿光':[118.73,36.86],
|
||||
'盘锦':[122.070714,41.119997],
|
||||
'长治':[113.08,36.18],
|
||||
'深圳':[114.07,22.62],
|
||||
'珠海':[113.52,22.3],
|
||||
'宿迁':[118.3,33.96],
|
||||
'咸阳':[108.72,34.36],
|
||||
'铜川':[109.11,35.09],
|
||||
'平度':[119.97,36.77],
|
||||
'佛山':[113.11,23.05],
|
||||
'海口':[110.35,20.02],
|
||||
'江门':[113.06,22.61],
|
||||
'章丘':[117.53,36.72],
|
||||
'肇庆':[112.44,23.05],
|
||||
'大连':[121.62,38.92],
|
||||
'临汾':[111.5,36.08],
|
||||
'吴江':[120.63,31.16],
|
||||
'石嘴山':[106.39,39.04],
|
||||
'沈阳':[123.38,41.8],
|
||||
'苏州':[120.62,31.32],
|
||||
'茂名':[110.88,21.68],
|
||||
'嘉兴':[120.76,30.77],
|
||||
'长春':[125.35,43.88],
|
||||
'胶州':[120.03336,36.264622],
|
||||
'银川':[106.27,38.47],
|
||||
'张家港':[120.555821,31.875428],
|
||||
'三门峡':[111.19,34.76],
|
||||
'锦州':[121.15,41.13],
|
||||
'南昌':[115.89,28.68],
|
||||
'柳州':[109.4,24.33],
|
||||
'三亚':[109.511909,18.252847],
|
||||
'自贡':[104.778442,29.33903],
|
||||
'吉林':[126.57,43.87],
|
||||
'阳江':[111.95,21.85],
|
||||
'泸州':[105.39,28.91],
|
||||
'西宁':[101.74,36.56],
|
||||
'宜宾':[104.56,29.77],
|
||||
'呼和浩特':[111.65,40.82],
|
||||
'成都':[104.06,30.67],
|
||||
'大同':[113.3,40.12],
|
||||
'镇江':[119.44,32.2],
|
||||
'桂林':[110.28,25.29],
|
||||
'张家界':[110.479191,29.117096],
|
||||
'宜兴':[119.82,31.36],
|
||||
'北海':[109.12,21.49],
|
||||
'西安':[108.95,34.27],
|
||||
'金坛':[119.56,31.74],
|
||||
'东营':[118.49,37.46],
|
||||
'牡丹江':[129.58,44.6],
|
||||
'遵义':[106.9,27.7],
|
||||
'绍兴':[120.58,30.01],
|
||||
'扬州':[119.42,32.39],
|
||||
'常州':[119.95,31.79],
|
||||
'潍坊':[119.1,36.62],
|
||||
'重庆':[106.54,29.59],
|
||||
'台州':[121.420757,28.656386],
|
||||
'南京':[118.78,32.04],
|
||||
'滨州':[118.03,37.36],
|
||||
'贵阳':[106.71,26.57],
|
||||
'无锡':[120.29,31.59],
|
||||
'本溪':[123.73,41.3],
|
||||
'克拉玛依':[84.77,45.59],
|
||||
'渭南':[109.5,34.52],
|
||||
'马鞍山':[118.48,31.56],
|
||||
'宝鸡':[107.15,34.38],
|
||||
'焦作':[113.21,35.24],
|
||||
'句容':[119.16,31.95],
|
||||
'北京':[116.46,39.92],
|
||||
'徐州':[117.2,34.26],
|
||||
'衡水':[115.72,37.72],
|
||||
'包头':[110,40.58],
|
||||
'绵阳':[104.73,31.48],
|
||||
'乌鲁木齐':[87.68,43.77],
|
||||
'枣庄':[117.57,34.86],
|
||||
'杭州':[120.19,30.26],
|
||||
'淄博':[118.05,36.78],
|
||||
'鞍山':[122.85,41.12],
|
||||
'溧阳':[119.48,31.43],
|
||||
'库尔勒':[86.06,41.68],
|
||||
'安阳':[114.35,36.1],
|
||||
'开封':[114.35,34.79],
|
||||
'济南':[117,36.65],
|
||||
'德阳':[104.37,31.13],
|
||||
'温州':[120.65,28.01],
|
||||
'九江':[115.97,29.71],
|
||||
'邯郸':[114.47,36.6],
|
||||
'临安':[119.72,30.23],
|
||||
'兰州':[103.73,36.03],
|
||||
'沧州':[116.83,38.33],
|
||||
'临沂':[118.35,35.05],
|
||||
'南充':[106.110698,30.837793],
|
||||
'天津':[117.2,39.13],
|
||||
'富阳':[119.95,30.07],
|
||||
'泰安':[117.13,36.18],
|
||||
'诸暨':[120.23,29.71],
|
||||
'郑州':[113.65,34.76],
|
||||
'哈尔滨':[126.63,45.75],
|
||||
'聊城':[115.97,36.45],
|
||||
'芜湖':[118.38,31.33],
|
||||
'唐山':[118.02,39.63],
|
||||
'平顶山':[113.29,33.75],
|
||||
'邢台':[114.48,37.05],
|
||||
'德州':[116.29,37.45],
|
||||
'济宁':[116.59,35.38],
|
||||
'荆州':[112.239741,30.335165],
|
||||
'宜昌':[111.3,30.7],
|
||||
'义乌':[120.06,29.32],
|
||||
'丽水':[119.92,28.45],
|
||||
'洛阳':[112.44,34.7],
|
||||
'秦皇岛':[119.57,39.95],
|
||||
'株洲':[113.16,27.83],
|
||||
'石家庄':[114.48,38.03],
|
||||
'莱芜':[117.67,36.19],
|
||||
'常德':[111.69,29.05],
|
||||
'保定':[115.48,38.85],
|
||||
'湘潭':[112.91,27.87],
|
||||
'金华':[119.64,29.12],
|
||||
'岳阳':[113.09,29.37],
|
||||
'长沙':[113,28.21],
|
||||
'衢州':[118.88,28.97],
|
||||
'廊坊':[116.7,39.53],
|
||||
'菏泽':[115.480656,35.23375],
|
||||
'合肥':[117.27,31.86],
|
||||
'武汉':[114.31,30.52],
|
||||
'大庆':[125.03,46.58]
|
||||
};
|
||||
// geoCoordMap = {};
|
||||
geoCoordMap = {
|
||||
'北碚': [106.50,29.81],
|
||||
'城口': [108.6520475,31.90676506],
|
||||
'大足': [105.7692868,29.65392091],
|
||||
'垫江': [107.4004904,30.24903189],
|
||||
'丰都': [107.7461781,29.91492542],
|
||||
'奉节': [109.3758974,30.98202119],
|
||||
'合川': [106.2833096,30.09766756],
|
||||
'江北': [106.6214893,29.64821182],
|
||||
'江津': [106.2647885,28.98483627],
|
||||
'开州': [108.1818518,31.29466521],
|
||||
'南岸': [106.6379653,29.47704825],
|
||||
'南川': [107.1406799,29.12047319],
|
||||
'彭水': [108.2573507,29.36444557],
|
||||
'綦南': [106.8036647,28.96872774],
|
||||
'黔江': [108.7559876,29.44290625],
|
||||
'石柱': [108.2438988,30.07512144],
|
||||
'市区': [106.4377397,29.52648606],
|
||||
'铜梁': [106.0616035,29.81036286],
|
||||
'潼南': [105.8116920, 30.13795513],
|
||||
'万州': [108.0828876,30.73353669],
|
||||
'巫山': [109.8779184,31.09568937],
|
||||
'巫溪': [109.2970739,31.48090521],
|
||||
'武隆': [107.6831317,29.36831708],
|
||||
'秀山': [108.9997005,28.49462861],
|
||||
'永川': [105.8347961,29.41042605],
|
||||
'酉阳': [108.7911679,28.88330557],
|
||||
'云阳': [108.7533957,30.96025875],
|
||||
'长寿': [107.24,29.95],
|
||||
'忠县': [107.9279014,30.33522658],
|
||||
'川东': [107.3488646,29.68233099]
|
||||
};
|
||||
var convertData = function (data) {
|
||||
var res = [];
|
||||
for (var i = 0; i < data.length; i++) {
|
||||
var geoCoord = geoCoordMap[data[i].name];
|
||||
if (geoCoord) {
|
||||
res.push({
|
||||
name: data[i].name,
|
||||
value: geoCoord.concat(data[i].value)
|
||||
});
|
||||
}
|
||||
}
|
||||
return res;
|
||||
};
|
||||
|
||||
option = {
|
||||
// backgroundColor: '#404a59',
|
||||
title: {
|
||||
text: '实时AQI',
|
||||
subtext: '来源：气象局',
|
||||
sublink: 'https://gitee.com/iGaoWei/big-data-view',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff'
|
||||
}
|
||||
},
|
||||
tooltip : {
|
||||
trigger: 'item',
|
||||
formatter: function (params) {
|
||||
if(typeof(params.value)[2] == "undefined"){
|
||||
return params.name + ' : ' + params.value;
|
||||
}else{
|
||||
return params.name + ' : ' + params.value[2];
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
geo: {
|
||||
map: '重庆',
|
||||
label: {
|
||||
emphasis: {
|
||||
show: false
|
||||
}
|
||||
},
|
||||
roam: false,//禁止其放大缩小
|
||||
itemStyle: {
|
||||
normal: {
|
||||
areaColor: '#4c60ff',
|
||||
borderColor: '#002097'
|
||||
},
|
||||
emphasis: {
|
||||
areaColor: '#293fff'
|
||||
}
|
||||
}
|
||||
},
|
||||
series : [
|
||||
{
|
||||
name: '消费金额',
|
||||
type: 'scatter',
|
||||
coordinateSystem: 'geo',
|
||||
data: convertData(data),
|
||||
symbolSize: function (val) {
|
||||
return val[2] / 15;
|
||||
},
|
||||
label: {
|
||||
normal: {
|
||||
formatter: '{b}',
|
||||
position: 'right',
|
||||
show: false
|
||||
},
|
||||
emphasis: {
|
||||
show: true
|
||||
}
|
||||
},
|
||||
itemStyle: {
|
||||
normal: {
|
||||
color: '#ffeb7b'
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize",function(){
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
|
||||
})
|
||||
|
||||
91
web/js/chart1.js
Normal file
91
web/js/chart1.js
Normal file
@ -0,0 +1,91 @@
|
||||
function echarts_1() {
|
||||
|
||||
var myChart = echarts.init(document.getElementById('echart1'));
|
||||
|
||||
const Data = Chart1_Data;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
var option = {
|
||||
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
axisPointer: {
|
||||
type: 'shadow'
|
||||
},
|
||||
formatter: function (params) {
|
||||
return params[0].name + ': ' + params[0].value + 'mm';
|
||||
}
|
||||
|
||||
},
|
||||
grid: {
|
||||
left: '0%',
|
||||
top: '10px',
|
||||
right: '0%',
|
||||
bottom: '4%',
|
||||
containLabel: true
|
||||
},
|
||||
xAxis: {
|
||||
type: 'value',
|
||||
boundaryGap: [0, 0.01],
|
||||
|
||||
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
},
|
||||
yAxis: {
|
||||
type: 'category',
|
||||
data: Data.x,
|
||||
|
||||
axisLine: {
|
||||
show: true,
|
||||
lineStyle: {
|
||||
color: "rgba(255,255,255,.1)",
|
||||
width: 1,
|
||||
type: "solid"
|
||||
},
|
||||
},
|
||||
|
||||
axisTick: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '降雨量',
|
||||
type: 'bar',
|
||||
data: Data.y,
|
||||
itemStyle: {
|
||||
color: '#0099CC'
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
115
web/js/chart2.js
Normal file
115
web/js/chart2.js
Normal file
@ -0,0 +1,115 @@
|
||||
function echarts_2() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('echart2'));
|
||||
|
||||
var xData = Chart2_Data.x;
|
||||
var yData1 = Chart2_Data.y1;
|
||||
var yData2 = Chart2_Data.y2;
|
||||
var yData3 = Chart2_Data.y3;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
var option = {
|
||||
// title: {
|
||||
// text: '2023年重庆市气温分布图',
|
||||
// subtext: '数据来源: 气象局'
|
||||
// },
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
formatter: function (params) {
|
||||
var content = '';
|
||||
params.forEach(function (item) {
|
||||
content += item.seriesName + ' : ' + item.value + '°C<br>';
|
||||
});
|
||||
return content;
|
||||
}
|
||||
},
|
||||
legend: {
|
||||
data: ['最高气温', '最低气温', '平均气温'],
|
||||
textStyle: { // 设置图例文字的样式
|
||||
color: '#fff' // 设置图例文字颜色为白色
|
||||
}
|
||||
|
||||
},
|
||||
grid: {
|
||||
left: '3%',
|
||||
right: '4%',
|
||||
bottom: '3%',
|
||||
containLabel: true
|
||||
},
|
||||
toolbox: {
|
||||
feature: {
|
||||
saveAsImage: {}
|
||||
}
|
||||
},
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
// boundaryGap: false,
|
||||
data: xData,
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
},
|
||||
dataZoom: [
|
||||
{
|
||||
type: 'slider',
|
||||
start: 0,
|
||||
end: 100
|
||||
},
|
||||
{
|
||||
type: 'inside',
|
||||
start: 0,
|
||||
end: 100
|
||||
}
|
||||
],
|
||||
series: [
|
||||
{
|
||||
name: '最高气温',
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
data: yData1,
|
||||
},
|
||||
{
|
||||
name: '最低气温',
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
data: yData2,
|
||||
},
|
||||
{
|
||||
name: '平均气温',
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
data: yData3,
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
87
web/js/chart31.js
Normal file
87
web/js/chart31.js
Normal file
@ -0,0 +1,87 @@
|
||||
function echarts_31() {
|
||||
var myChart = echarts.init(document.getElementById('fb1'));
|
||||
|
||||
var data = Chart31_Data;
|
||||
|
||||
var option = {
|
||||
title: {
|
||||
text: '天气状况统计',
|
||||
// subtext: '数据来源：气象局',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
fontSize: '16'
|
||||
}
|
||||
},
|
||||
tooltip: {
|
||||
trigger: 'item',
|
||||
position: function (p) { //其中p为当前鼠标的位置
|
||||
return [p[0] + 10, p[1] - 10];
|
||||
},
|
||||
formatter: function (params) {
|
||||
var dataItem = data.find(item => item.name === params.name);
|
||||
var value = `${dataItem.name}: ${params.value} (${params.percent}%) <br>`;
|
||||
|
||||
dataItem.weather.forEach((v) => {
|
||||
value += `${v} <br>`;
|
||||
});
|
||||
|
||||
return value; // 动态遍历数据显示地区、天气和百分比
|
||||
}
|
||||
},
|
||||
legend: {
|
||||
orient: 'vertical',
|
||||
left: 'left',
|
||||
top: '70%',
|
||||
itemWidth: 10,
|
||||
itemHeight: 10,
|
||||
textStyle: {
|
||||
color: 'rgba(255,255,255,.5)',
|
||||
fontSize: '12',
|
||||
},
|
||||
data: ['晴天', '多云', '小雨', '大雨', '阴天', '雷阵雨', '雾']
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '天气状况',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
avoidLabelOverlap: false,
|
||||
label: {
|
||||
show: false,
|
||||
position: 'center',
|
||||
formatter: '{b}: {c}' // 显示地区名称和天气数据
|
||||
|
||||
},
|
||||
|
||||
emphasis: {
|
||||
label: {
|
||||
show: true,
|
||||
fontSize: '30',
|
||||
fontWeight: 'bold'
|
||||
}
|
||||
},
|
||||
labelLine: {
|
||||
show: false
|
||||
},
|
||||
data: data.map(item => ({
|
||||
value: item.value,
|
||||
name: item.name,
|
||||
itemStyle: {color: item.color},
|
||||
label: {
|
||||
normal: {
|
||||
show: false // 设置标签显示为normal
|
||||
}
|
||||
}
|
||||
}))
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
87
web/js/chart32.js
Normal file
87
web/js/chart32.js
Normal file
@ -0,0 +1,87 @@
|
||||
function echarts_32() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('fb2'));
|
||||
|
||||
var data = Chart32_Data;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
option = {
|
||||
title: {
|
||||
text: '空气质量地区排行',
|
||||
// subtext: '数据来源：环保局',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
fontSize: '16'
|
||||
}
|
||||
},
|
||||
tooltip: {
|
||||
trigger: 'item',
|
||||
position: function (p) { //其中p为当前鼠标的位置
|
||||
return [p[0] + 10, p[1] - 10];
|
||||
},
|
||||
formatter: function (params) {
|
||||
var dataItem = data.find(item => item.name === params.name);
|
||||
var value = `${dataItem.name}: ${params.value} (${params.percent}%) <br>`;
|
||||
|
||||
dataItem.degree.forEach((v) => {
|
||||
value += `${v} <br>`;
|
||||
});
|
||||
|
||||
return value; // 动态遍历数据显示地区、天气和百分比
|
||||
}
|
||||
},
|
||||
legend: {
|
||||
orient: 'vertical',
|
||||
left: 'left',
|
||||
top: '70%',
|
||||
itemWidth: 10,
|
||||
itemHeight: 10,
|
||||
textStyle: {
|
||||
color: 'rgba(255,255,255,.5)',
|
||||
fontSize: '12',
|
||||
},
|
||||
// data: ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染'],
|
||||
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '空气质量',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
|
||||
data: data.map(item => ({
|
||||
value: item.value,
|
||||
name: item.name,
|
||||
itemStyle: {color: item.color},
|
||||
label: {
|
||||
show: false,
|
||||
position: 'center',
|
||||
formatter: '{b}: {c}' // 显示地区名称和天气数据
|
||||
|
||||
},
|
||||
})),
|
||||
emphasis: {
|
||||
itemStyle: {
|
||||
show: true,
|
||||
fontSize: '30',
|
||||
fontWeight: 'bold'
|
||||
}
|
||||
},
|
||||
labelLine: {
|
||||
show: false
|
||||
}
|
||||
// itemStyle: {
|
||||
// color: ['#0f63d6', '#0f78d6', '#0f8cd6', '#0fa0d6', '#0fb4d6', '#0fc8d6'] // 添加更多的颜色
|
||||
// }
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
86
web/js/chart33.js
Normal file
86
web/js/chart33.js
Normal file
@ -0,0 +1,86 @@
|
||||
function echarts_33() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('fb3'));
|
||||
var data = Chart33_Data;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
option = {
|
||||
title: {
|
||||
text: '空气质量地区排行',
|
||||
// subtext: '数据来源：环保局',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
fontSize: '16'
|
||||
}
|
||||
},
|
||||
tooltip: {
|
||||
trigger: 'item',
|
||||
position: function (p) { //其中p为当前鼠标的位置
|
||||
return [p[0] + 10, p[1] - 10];
|
||||
},
|
||||
formatter: function (params) {
|
||||
var dataItem = data.find(item => item.name === params.name);
|
||||
var value = `${dataItem.name}: ${params.value} (${params.percent}%) <br>`;
|
||||
|
||||
dataItem.degree.forEach((v) => {
|
||||
value += `${v} <br>`;
|
||||
});
|
||||
|
||||
return value; // 动态遍历数据显示地区、天气和百分比
|
||||
}
|
||||
},
|
||||
legend: {
|
||||
orient: 'vertical',
|
||||
left: 'left',
|
||||
top: '70%',
|
||||
itemWidth: 10,
|
||||
itemHeight: 10,
|
||||
textStyle: {
|
||||
color: 'rgba(255,255,255,.5)',
|
||||
fontSize: '12',
|
||||
},
|
||||
// data: ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染'],
|
||||
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '空气质量',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
|
||||
data: data.map(item => ({
|
||||
value: item.value,
|
||||
name: item.name,
|
||||
itemStyle: {color: item.color},
|
||||
label: {
|
||||
show: false,
|
||||
position: 'center',
|
||||
formatter: '{b}: {c}' // 显示地区名称和天气数据
|
||||
|
||||
},
|
||||
})),
|
||||
emphasis: {
|
||||
itemStyle: {
|
||||
show: true,
|
||||
fontSize: '30',
|
||||
fontWeight: 'bold'
|
||||
}
|
||||
},
|
||||
labelLine: {
|
||||
show: false
|
||||
}
|
||||
// itemStyle: {
|
||||
// color: ['#0f63d6', '#0f78d6', '#0f8cd6', '#0fa0d6', '#0fb4d6', '#0fc8d6'] // 添加更多的颜色
|
||||
// }
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
87
web/js/chart4.js
Normal file
87
web/js/chart4.js
Normal file
@ -0,0 +1,87 @@
|
||||
function echarts_4() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('echart4'));
|
||||
|
||||
var xData = Chart4_Data.x;
|
||||
var yData = Chart4_Data.y;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
var option = {
|
||||
// title: {
|
||||
// text: '重庆市现在平均气温地区排名',
|
||||
// subtext: '数据来源：气象局'
|
||||
// },
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
axisPointer: {
|
||||
type: 'shadow'
|
||||
},
|
||||
textStyle: { // 设置图例文字的样式
|
||||
color: '#fff' // 设置图例文字颜色为白色
|
||||
},
|
||||
formatter: function (params) {
|
||||
return params[0].name + ': ' + params[0].value + '℃';
|
||||
}
|
||||
|
||||
},
|
||||
// grid: {
|
||||
// left: '3%',
|
||||
// right: '4%',
|
||||
// bottom: '3%',
|
||||
// containLabel: true
|
||||
// },
|
||||
grid: {
|
||||
left: '10',
|
||||
top: '30',
|
||||
right: '10',
|
||||
bottom: '10',
|
||||
containLabel: true
|
||||
},
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: xData,
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
axisLabel: {
|
||||
formatter: '{value}°C' // Add the °C unit to the formatter
|
||||
},
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
}
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '平均气温',
|
||||
type: 'bar',
|
||||
data: yData,
|
||||
itemStyle: {
|
||||
color: '#FF6600'
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
75
web/js/chart5.js
Normal file
75
web/js/chart5.js
Normal file
@ -0,0 +1,75 @@
|
||||
function echarts_5() {
|
||||
// 基于准备好的dom，初始化echarts实例
|
||||
var myChart = echarts.init(document.getElementById('echart5'));
|
||||
|
||||
var xData = Chart5_Data.x;
|
||||
var yData = Chart5_Data.y;
|
||||
|
||||
// 指定图表的配置项和数据
|
||||
var option = {
|
||||
// title: {
|
||||
// text: '重庆市现在平均湿度地区排名',
|
||||
// subtext: '数据来源：气象局'
|
||||
// },
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
axisPointer: {
|
||||
type: 'shadow'
|
||||
},
|
||||
formatter: function (params) {
|
||||
return params[0].name + ': ' + params[0].value + '%';
|
||||
}
|
||||
},
|
||||
grid: {
|
||||
left: '3%',
|
||||
right: '4%',
|
||||
bottom: '3%',
|
||||
containLabel: true
|
||||
},
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: xData,
|
||||
axisLabel: {
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
}
|
||||
},
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
|
||||
axisLabel: {
|
||||
formatter: '{value}%',
|
||||
interval: 0,
|
||||
// rotate:50,
|
||||
show: true,
|
||||
splitNumber: 15,
|
||||
textStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
},
|
||||
},
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: '平均湿度',
|
||||
type: 'bar',
|
||||
data: yData,
|
||||
itemStyle: {
|
||||
color: '#6699FF'
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
128
web/js/chart6.js
Normal file
128
web/js/chart6.js
Normal file
@ -0,0 +1,128 @@
|
||||
function echarts_6() {
|
||||
// 初始化 ECharts 实例
|
||||
var myChart = echarts.init(document.getElementById('echart6'));
|
||||
|
||||
const data = Chart6_Data;
|
||||
|
||||
var series = [];
|
||||
const itemStyle = {
|
||||
opacity: 0.8,
|
||||
shadowBlur: 10,
|
||||
shadowOffsetX: 0,
|
||||
shadowOffsetY: 0,
|
||||
shadowColor: 'rgba(0,0,0,0.3)'
|
||||
};
|
||||
data.forEach((m) => {
|
||||
series.push({
|
||||
name: m.name,
|
||||
type: 'scatter',
|
||||
itemStyle: itemStyle,
|
||||
data: m.value
|
||||
}
|
||||
)
|
||||
});
|
||||
|
||||
const schema = [
|
||||
{name: 'date', index: 0, text: '日'},
|
||||
{name: 'AQIindex', index: 1, text: 'AQI指数'},
|
||||
{name: 'AQIText', index: 2, text: '污染程度'},
|
||||
];
|
||||
option = {
|
||||
color: ['#dd4444', '#fec42c', '#80F1BE'],
|
||||
legend: {
|
||||
top: 10,
|
||||
data: ['北京', '上海', '广州'],
|
||||
textStyle: {
|
||||
fontSize: 16,
|
||||
color: '#fff' // 设置图例文字颜色为白色
|
||||
}
|
||||
},
|
||||
grid: {
|
||||
left: '10%',
|
||||
right: 150,
|
||||
top: '18%',
|
||||
bottom: '10%'
|
||||
},
|
||||
tooltip: {
|
||||
backgroundColor: 'rgba(255,255,255,0.7)',
|
||||
formatter: function (param) {
|
||||
var value = param.value;
|
||||
// prettier-ignore
|
||||
return '<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">'
|
||||
+ param.seriesName
|
||||
+ '</div>'
|
||||
+ schema[1].text + '：' + value[1] + '<br>'
|
||||
+ schema[2].text + '：' + value[2] + '<br>';
|
||||
}
|
||||
},
|
||||
xAxis: {
|
||||
type: 'value',
|
||||
name: '日期',
|
||||
nameGap: 16,
|
||||
nameTextStyle: {
|
||||
fontSize: 16
|
||||
},
|
||||
max: 31,
|
||||
splitLine: {
|
||||
show: false
|
||||
},
|
||||
show: false
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
name: 'AQI指数',
|
||||
nameLocation: 'end',
|
||||
nameGap: 20,
|
||||
nameTextStyle: {
|
||||
fontSize: 16
|
||||
},
|
||||
splitLine: {
|
||||
show: false
|
||||
},
|
||||
axisLine: {
|
||||
lineStyle: {
|
||||
color: "rgba(255,255,255,.6)",
|
||||
fontSize: '12',
|
||||
}
|
||||
}
|
||||
},
|
||||
visualMap: [
|
||||
{
|
||||
left: 'right',
|
||||
top: '10%',
|
||||
dimension: 1,
|
||||
min: 0,
|
||||
max: 250,
|
||||
itemWidth: 30,
|
||||
itemHeight: 120,
|
||||
calculable: true,
|
||||
precision: 0.1,
|
||||
text: ['圆形大小：AQI指数'],
|
||||
textGap: 30,
|
||||
inRange: {
|
||||
symbolSize: [10, 70]
|
||||
},
|
||||
outOfRange: {
|
||||
symbolSize: [10, 70],
|
||||
color: ['rgba(255,255,255,0.4)']
|
||||
},
|
||||
controller: {
|
||||
inRange: {
|
||||
color: ['#c23531']
|
||||
},
|
||||
outOfRange: {
|
||||
color: ['#999']
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
],
|
||||
series: series,
|
||||
};
|
||||
|
||||
// 使用刚指定的配置项和数据显示图表。
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
29
web/js/china.js
Normal file
29
web/js/china.js
Normal file
File diff suppressed because one or more lines are too long
27
web/js/chongqing.js
Normal file
27
web/js/chongqing.js
Normal file
File diff suppressed because one or more lines are too long
63
web/js/data.js
Normal file
63
web/js/data.js
Normal file
@ -0,0 +1,63 @@
|
||||
const Chart1_Data = {
|
||||
"x": ['渝中区', '九龙坡区', '沙坪坝区', '南岸区', '江北区', '渝北区', '巴南区'],
|
||||
"y": [15.6, 14.2, 12.8, 11.7, 9.5, 7.8, 6.3]
|
||||
};
|
||||
const Chart2_Data = {
|
||||
"x": ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月', '10月', '11月', '12月'],
|
||||
"y1": [30, 32, 35, 33, 31, 28, 27, 29, 30, 31, 32, 31],
|
||||
"y2": [20, 22, 25, 23, 21, 18, 17, 19, 20, 21, 22, 21],
|
||||
"y3": [25, 27, 30, 28, 26, 23, 22, 24, 25, 26, 27, 26]
|
||||
};
|
||||
const Chart4_Data = {
|
||||
"x": ['渝中区', '九龙坡区', '沙坪坝区', '南岸区', '江北区', '渝北区', '巴南区'],
|
||||
"y": [28, 29, 30, 30, 31, 32, 33]
|
||||
};
|
||||
const Chart5_Data = {
|
||||
"x": ['渝中区', '九龙坡区', '沙坪坝区', '南岸区', '江北区', '渝北区', '巴南区'],
|
||||
"y": [70, 72, 75, 73, 68, 71, 74]
|
||||
};
|
||||
const Chart6_Data = [
|
||||
{
|
||||
"name": "永川区",
|
||||
"value": [
|
||||
[1, 55, '良'],
|
||||
[2, 25, '优'],
|
||||
[3, 56, '良'],
|
||||
[4, 33, '优'],
|
||||
[25, 42, '优'],
|
||||
[26, 154, '中度污染'],
|
||||
[27, 234, '重度污染'],
|
||||
[28, 160, '中度污染'],
|
||||
[29, 134, '轻度污染'],
|
||||
[30, 52, '良'],
|
||||
[31, 46, '优']
|
||||
]
|
||||
}
|
||||
];
|
||||
const Chart31_Data = [
|
||||
{value: 335, name: '晴天', weather: ['渝中区', '永川区'], color: '#065aab'}, // 调整颜色
|
||||
{value: 310, name: '多云', weather: ['九龙坡区'], color: '#066eab'},
|
||||
{value: 234, name: '小雨', weather: ['沙坪坝区'], color: '#0682ab'},
|
||||
{value: 135, name: '大雨', weather: ['南岸区'], color: '#0696ab'},
|
||||
{value: 1548, name: '阴天', weather: ['江北区'], color: '#06a0ab'},
|
||||
{value: 148, name: '雷阵雨', weather: ['渝北区'], color: '#06b4ab'},
|
||||
{value: 248, name: '雾', weather: ['巴南区'], color: '#06c8ab'}
|
||||
];
|
||||
const Chart32_Data = [
|
||||
{value: 335, name: '优', degree: ['渝中区'], color: '#065aab'}, // 调整颜色
|
||||
{value: 310, name: '良', degree: ['九龙坡区'], color: '#066eab'},
|
||||
{value: 234, name: '轻度污染', degree: ['沙坪坝区'], color: '#0682ab'},
|
||||
{value: 135, name: '中度污染', degree: ['南岸区'], color: '#0696ab'},
|
||||
{value: 1548, name: '严重污染', degree: ['江北区'], color: '#06a0ab'},
|
||||
{value: 148, name: '中度污染', degree: ['渝北区'], color: '#06b4ab'},
|
||||
{value: 248, name: '中度污染', degree: ['巴南区'], color: '#06c8ab'}
|
||||
];
|
||||
const Chart33_Data = [
|
||||
{value: 335, name: '1 m/s', degree: ['渝中区'], color: '#065aab'}, // 调整颜色
|
||||
{value: 310, name: '2 m/s', degree: ['九龙坡区'], color: '#066eab'},
|
||||
{value: 234, name: '3 m/s', degree: ['沙坪坝区'], color: '#0682ab'},
|
||||
{value: 135, name: '4 m/s', degree: ['南岸区'], color: '#0696ab'},
|
||||
{value: 1548, name: '5 m/s', degree: ['江北区'], color: '#06a0ab'},
|
||||
{value: 148, name: '6 m/s', degree: ['渝北区'], color: '#06b4ab'},
|
||||
{value: 248, name: '7 m/s', degree: ['巴南区'], color: '#06c8ab'}
|
||||
];
|
||||
22
web/js/echarts.min.js
vendored
Normal file
22
web/js/echarts.min.js
vendored
Normal file
File diff suppressed because one or more lines are too long
353
web/js/index.html
Normal file
353
web/js/index.html
Normal file
@ -0,0 +1,353 @@
|
||||
<html><head>
|
||||
<meta charset="utf-8">
|
||||
<title>www.husonghe.com</title>
|
||||
<style>
|
||||
html {
|
||||
height: 100%;
|
||||
background-image: -webkit-radial-gradient(ellipse farthest-corner at center center, #1b44e4 0%, #020f3a 100%);
|
||||
background-image: radial-gradient(ellipse farthest-corner at center center, #1b44e4 0%, #020f3a 100%);
|
||||
cursor: move;
|
||||
}
|
||||
|
||||
body {
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
overflow: hidden;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
|
||||
<canvas id="canv" width="1920" height="572"></canvas>
|
||||
<script>
|
||||
var num = 200;
|
||||
var w = window.innerWidth;
|
||||
var h = window.innerHeight;
|
||||
var max = 100;
|
||||
var _x = 0;
|
||||
var _y = 0;
|
||||
var _z = 150;
|
||||
var dtr = function(d) {
|
||||
return d * Math.PI / 180;
|
||||
};
|
||||
|
||||
var rnd = function() {
|
||||
return Math.sin(Math.floor(Math.random() * 360) * Math.PI / 180);
|
||||
};
|
||||
var dist = function(p1, p2, p3) {
|
||||
return Math.sqrt(Math.pow(p2.x - p1.x, 2) + Math.pow(p2.y - p1.y, 2) + Math.pow(p2.z - p1.z, 2));
|
||||
};
|
||||
|
||||
var cam = {
|
||||
obj: {
|
||||
x: _x,
|
||||
y: _y,
|
||||
z: _z
|
||||
},
|
||||
dest: {
|
||||
x: 0,
|
||||
y: 0,
|
||||
z: 1
|
||||
},
|
||||
dist: {
|
||||
x: 0,
|
||||
y: 0,
|
||||
z: 200
|
||||
},
|
||||
ang: {
|
||||
cplane: 0,
|
||||
splane: 0,
|
||||
ctheta: 0,
|
||||
stheta: 0
|
||||
},
|
||||
zoom: 1,
|
||||
disp: {
|
||||
x: w / 2,
|
||||
y: h / 2,
|
||||
z: 0
|
||||
},
|
||||
upd: function() {
|
||||
cam.dist.x = cam.dest.x - cam.obj.x;
|
||||
cam.dist.y = cam.dest.y - cam.obj.y;
|
||||
cam.dist.z = cam.dest.z - cam.obj.z;
|
||||
cam.ang.cplane = -cam.dist.z / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z);
|
||||
cam.ang.splane = cam.dist.x / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z);
|
||||
cam.ang.ctheta = Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z) / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.y * cam.dist.y + cam.dist.z * cam.dist.z);
|
||||
cam.ang.stheta = -cam.dist.y / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.y * cam.dist.y + cam.dist.z * cam.dist.z);
|
||||
}
|
||||
};
|
||||
|
||||
var trans = {
|
||||
parts: {
|
||||
sz: function(p, sz) {
|
||||
return {
|
||||
x: p.x * sz.x,
|
||||
y: p.y * sz.y,
|
||||
z: p.z * sz.z
|
||||
};
|
||||
},
|
||||
rot: {
|
||||
x: function(p, rot) {
|
||||
return {
|
||||
x: p.x,
|
||||
y: p.y * Math.cos(dtr(rot.x)) - p.z * Math.sin(dtr(rot.x)),
|
||||
z: p.y * Math.sin(dtr(rot.x)) + p.z * Math.cos(dtr(rot.x))
|
||||
};
|
||||
},
|
||||
y: function(p, rot) {
|
||||
return {
|
||||
x: p.x * Math.cos(dtr(rot.y)) + p.z * Math.sin(dtr(rot.y)),
|
||||
y: p.y,
|
||||
z: -p.x * Math.sin(dtr(rot.y)) + p.z * Math.cos(dtr(rot.y))
|
||||
};
|
||||
},
|
||||
z: function(p, rot) {
|
||||
return {
|
||||
x: p.x * Math.cos(dtr(rot.z)) - p.y * Math.sin(dtr(rot.z)),
|
||||
y: p.x * Math.sin(dtr(rot.z)) + p.y * Math.cos(dtr(rot.z)),
|
||||
z: p.z
|
||||
};
|
||||
}
|
||||
},
|
||||
pos: function(p, pos) {
|
||||
return {
|
||||
x: p.x + pos.x,
|
||||
y: p.y + pos.y,
|
||||
z: p.z + pos.z
|
||||
};
|
||||
}
|
||||
},
|
||||
pov: {
|
||||
plane: function(p) {
|
||||
return {
|
||||
x: p.x * cam.ang.cplane + p.z * cam.ang.splane,
|
||||
y: p.y,
|
||||
z: p.x * -cam.ang.splane + p.z * cam.ang.cplane
|
||||
};
|
||||
},
|
||||
theta: function(p) {
|
||||
return {
|
||||
x: p.x,
|
||||
y: p.y * cam.ang.ctheta - p.z * cam.ang.stheta,
|
||||
z: p.y * cam.ang.stheta + p.z * cam.ang.ctheta
|
||||
};
|
||||
},
|
||||
set: function(p) {
|
||||
return {
|
||||
x: p.x - cam.obj.x,
|
||||
y: p.y - cam.obj.y,
|
||||
z: p.z - cam.obj.z
|
||||
};
|
||||
}
|
||||
},
|
||||
persp: function(p) {
|
||||
return {
|
||||
x: p.x * cam.dist.z / p.z * cam.zoom,
|
||||
y: p.y * cam.dist.z / p.z * cam.zoom,
|
||||
z: p.z * cam.zoom,
|
||||
p: cam.dist.z / p.z
|
||||
};
|
||||
},
|
||||
disp: function(p, disp) {
|
||||
return {
|
||||
x: p.x + disp.x,
|
||||
y: -p.y + disp.y,
|
||||
z: p.z + disp.z,
|
||||
p: p.p
|
||||
};
|
||||
},
|
||||
steps: function(_obj_, sz, rot, pos, disp) {
|
||||
var _args = trans.parts.sz(_obj_, sz);
|
||||
_args = trans.parts.rot.x(_args, rot);
|
||||
_args = trans.parts.rot.y(_args, rot);
|
||||
_args = trans.parts.rot.z(_args, rot);
|
||||
_args = trans.parts.pos(_args, pos);
|
||||
_args = trans.pov.plane(_args);
|
||||
_args = trans.pov.theta(_args);
|
||||
_args = trans.pov.set(_args);
|
||||
_args = trans.persp(_args);
|
||||
_args = trans.disp(_args, disp);
|
||||
return _args;
|
||||
}
|
||||
};
|
||||
|
||||
(function() {
|
||||
"use strict";
|
||||
var threeD = function(param) {
|
||||
this.transIn = {};
|
||||
this.transOut = {};
|
||||
this.transIn.vtx = (param.vtx);
|
||||
this.transIn.sz = (param.sz);
|
||||
this.transIn.rot = (param.rot);
|
||||
this.transIn.pos = (param.pos);
|
||||
};
|
||||
|
||||
threeD.prototype.vupd = function() {
|
||||
this.transOut = trans.steps(
|
||||
|
||||
this.transIn.vtx,
|
||||
this.transIn.sz,
|
||||
this.transIn.rot,
|
||||
this.transIn.pos,
|
||||
cam.disp
|
||||
);
|
||||
};
|
||||
|
||||
var Build = function() {
|
||||
this.vel = 0.04;
|
||||
this.lim = 360;
|
||||
this.diff = 200;
|
||||
this.initPos = 100;
|
||||
this.toX = _x;
|
||||
this.toY = _y;
|
||||
this.go();
|
||||
};
|
||||
|
||||
Build.prototype.go = function() {
|
||||
this.canvas = document.getElementById("canv");
|
||||
this.canvas.width = window.innerWidth;
|
||||
this.canvas.height = window.innerHeight;
|
||||
this.$ = canv.getContext("2d");
|
||||
this.$.globalCompositeOperation = 'source-over';
|
||||
this.varr = [];
|
||||
this.dist = [];
|
||||
this.calc = [];
|
||||
|
||||
for (var i = 0, len = num; i < len; i++) {
|
||||
this.add();
|
||||
}
|
||||
|
||||
this.rotObj = {
|
||||
x: 0,
|
||||
y: 0,
|
||||
z: 0
|
||||
};
|
||||
this.objSz = {
|
||||
x: w / 5,
|
||||
y: h / 5,
|
||||
z: w / 5
|
||||
};
|
||||
};
|
||||
|
||||
Build.prototype.add = function() {
|
||||
this.varr.push(new threeD({
|
||||
vtx: {
|
||||
x: rnd(),
|
||||
y: rnd(),
|
||||
z: rnd()
|
||||
},
|
||||
sz: {
|
||||
x: 0,
|
||||
y: 0,
|
||||
z: 0
|
||||
},
|
||||
rot: {
|
||||
x: 20,
|
||||
y: -20,
|
||||
z: 0
|
||||
},
|
||||
pos: {
|
||||
x: this.diff * Math.sin(360 * Math.random() * Math.PI / 180),
|
||||
y: this.diff * Math.sin(360 * Math.random() * Math.PI / 180),
|
||||
z: this.diff * Math.sin(360 * Math.random() * Math.PI / 180)
|
||||
}
|
||||
}));
|
||||
this.calc.push({
|
||||
x: 360 * Math.random(),
|
||||
y: 360 * Math.random(),
|
||||
z: 360 * Math.random()
|
||||
});
|
||||
};
|
||||
|
||||
Build.prototype.upd = function() {
|
||||
cam.obj.x += (this.toX - cam.obj.x) * 0.05;
|
||||
cam.obj.y += (this.toY - cam.obj.y) * 0.05;
|
||||
};
|
||||
|
||||
Build.prototype.draw = function() {
|
||||
this.$.clearRect(0, 0, this.canvas.width, this.canvas.height);
|
||||
cam.upd();
|
||||
this.rotObj.x += 0.1;
|
||||
this.rotObj.y += 0.1;
|
||||
this.rotObj.z += 0.1;
|
||||
|
||||
for (var i = 0; i < this.varr.length; i++) {
|
||||
for (var val in this.calc[i]) {
|
||||
if (this.calc[i].hasOwnProperty(val)) {
|
||||
this.calc[i][val] += this.vel;
|
||||
if (this.calc[i][val] > this.lim) this.calc[i][val] = 0;
|
||||
}
|
||||
}
|
||||
|
||||
this.varr[i].transIn.pos = {
|
||||
x: this.diff * Math.cos(this.calc[i].x * Math.PI / 180),
|
||||
y: this.diff * Math.sin(this.calc[i].y * Math.PI / 180),
|
||||
z: this.diff * Math.sin(this.calc[i].z * Math.PI / 180)
|
||||
};
|
||||
this.varr[i].transIn.rot = this.rotObj;
|
||||
this.varr[i].transIn.sz = this.objSz;
|
||||
this.varr[i].vupd();
|
||||
if (this.varr[i].transOut.p < 0) continue;
|
||||
var g = this.$.createRadialGradient(this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p, this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p * 2);
|
||||
this.$.globalCompositeOperation = 'lighter';
|
||||
g.addColorStop(0, 'hsla(255, 255%, 255%, 1)');
|
||||
g.addColorStop(.5, 'hsla(' + (i + 2) + ',85%, 40%,1)');
|
||||
g.addColorStop(1, 'hsla(' + (i) + ',85%, 40%,.5)');
|
||||
this.$.fillStyle = g;
|
||||
this.$.beginPath();
|
||||
this.$.arc(this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p * 2, 0, Math.PI * 2, false);
|
||||
this.$.fill();
|
||||
this.$.closePath();
|
||||
}
|
||||
};
|
||||
Build.prototype.anim = function() {
|
||||
window.requestAnimationFrame = (function() {
|
||||
return window.requestAnimationFrame ||
|
||||
function(callback, element) {
|
||||
window.setTimeout(callback, 1000 / 60);
|
||||
};
|
||||
})();
|
||||
var anim = function() {
|
||||
this.upd();
|
||||
this.draw();
|
||||
window.requestAnimationFrame(anim);
|
||||
|
||||
}.bind(this);
|
||||
window.requestAnimationFrame(anim);
|
||||
};
|
||||
|
||||
Build.prototype.run = function() {
|
||||
this.anim();
|
||||
|
||||
window.addEventListener('mousemove', function(e) {
|
||||
this.toX = (e.clientX - this.canvas.width / 2) * -0.8;
|
||||
this.toY = (e.clientY - this.canvas.height / 2) * 0.8;
|
||||
}.bind(this));
|
||||
window.addEventListener('touchmove', function(e) {
|
||||
e.preventDefault();
|
||||
this.toX = (e.touches[0].clientX - this.canvas.width / 2) * -0.8;
|
||||
this.toY = (e.touches[0].clientY - this.canvas.height / 2) * 0.8;
|
||||
}.bind(this));
|
||||
window.addEventListener('mousedown', function(e) {
|
||||
for (var i = 0; i < 100; i++) {
|
||||
this.add();
|
||||
}
|
||||
}.bind(this));
|
||||
window.addEventListener('touchstart', function(e) {
|
||||
e.preventDefault();
|
||||
for (var i = 0; i < 100; i++) {
|
||||
this.add();
|
||||
}
|
||||
}.bind(this));
|
||||
};
|
||||
var app = new Build();
|
||||
app.run();
|
||||
})();
|
||||
// window.addEventListener('resize', function() {
|
||||
// canvas.width = w = window.innerWidth;
|
||||
// canvas.height = h = window.innerHeight;
|
||||
// }, false);
|
||||
</script>
|
||||
</body></html>
|
||||
5
web/js/jquery.js
vendored
Normal file
5
web/js/jquery.js
vendored
Normal file
File diff suppressed because one or more lines are too long
10
web/js/js.js
Normal file
10
web/js/js.js
Normal file
@ -0,0 +1,10 @@
|
||||
$(function () {
|
||||
echarts_1();
|
||||
echarts_2();
|
||||
echarts_4();
|
||||
echarts_31();
|
||||
echarts_32();
|
||||
echarts_33();
|
||||
echarts_5();
|
||||
echarts_6();
|
||||
})
|
||||
BIN
web/picture/jt.png
Normal file
BIN
web/picture/jt.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 72 KiB |
BIN
web/picture/lbx.png
Normal file
BIN
web/picture/lbx.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 81 KiB |
BIN
web/picture/loading.gif
Normal file
BIN
web/picture/loading.gif
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 701 B |
BIN
web/picture/map.png
Normal file
BIN
web/picture/map.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 302 KiB |
BIN
web/picture/weather.png
Normal file
BIN
web/picture/weather.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 2.3 KiB |
Loading…
Reference in New Issue
Block a user