548 lines
19 KiB
HTML
548 lines
19 KiB
HTML
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<html>
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<head>
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<meta charset="utf-8">
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<script src="esl.js"></script>
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<script src="config.js"></script>
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<script src="lib/jquery.min.js"></script>
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<script src="lib/draggable.js"></script>
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<link rel="stylesheet" href="reset.css">
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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</head>
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<body>
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<style>
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body {
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position: absolute;
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left: 0;
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top: 0;
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}
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#main {
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position: absolute;
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top: 10px;
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left: 10px;
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width: 700px;
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height: 650px;
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background: #fff;
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}
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.code-panel {
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position: fixed;
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top: 10px;
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right: 10px;
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width: 200px;
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border: 2px solid #555;
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}
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.code-line {
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margin: 15px 5px;
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font-size: 12px;
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}
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.code-line textarea{
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width: 190px;
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height: 80px;
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margin-bottom: 5px;
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}
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</style>
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<div id="main"></div>
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<div class="code-panel">
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<div class="code-line">
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<textarea id="code1">
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chart.setOption({backgroundColor: '#000'});
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</textarea>
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<input type="button" value="run" onclick="runCode('code1');"/>
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Then press restore buttton.
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</div>
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<div class="code-line">
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<textarea id="code2">
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chart.setOption({backgroundColor: '#fff'});
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</textarea>
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<input type="button" value="run" onclick="runCode('code2');"/>
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</div>
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<div class="code-line">
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<textarea id="code3">
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chart.setOption({
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series: [
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{id: 'pie0', label: {normal: {position: 'inside'}}}
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]
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});
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</textarea>
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<input type="button" value="run" onclick="runCode('code3');"/>
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</div>
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<div class="code-line">
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<textarea id="code4">
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chart.setOption({
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timeline: {
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currentIndex: 5
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}
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});
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</textarea>
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<input type="button" value="run" onclick="runCode('code4');"/>
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</div>
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</div>
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<script src="data/timelineGDP.js"></script>
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<script>
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var chart;
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var echarts;
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// markLine: {
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// symbol: ['arrow','none'],
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// symbolSize: [4, 2],
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// itemStyle: {
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// normal: {
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// lineStyle: {color:'orange'},
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// barBorderColor:'orange',
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// label: {
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// position:'left',
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// formatter:function(params){
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// return Math.round(params.value);
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// },
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// textStyle:{color:'orange'}
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// }
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// }
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// },
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// data: [{type: 'average', name: '平均值'}]
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// }
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require([
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'echarts',
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'echarts/chart/bar',
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'echarts/chart/pie',
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'echarts/component/title',
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'echarts/component/legend',
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'echarts/component/grid',
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'echarts/component/tooltip',
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'echarts/component/timeline',
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'echarts/component/toolbox'
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], function (ec) {
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echarts = ec;
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chart = echarts.init(document.getElementById('main'), null, {
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renderer: 'canvas'
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});
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draggable.init(
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document.getElementById('main'),
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chart,
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{throttle: 70}
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);
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var categoryData = [
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'北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江',
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'上海','江苏','浙江','安徽','福建','江西','山东','河南',
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'湖北','湖南','广东','广西','海南','重庆','四川','贵州',
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'云南','西藏','陕西','甘肃','青海','宁夏','新疆'
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];
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var categoryDataWithReturn = [];
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for (var i = 0; i < categoryData.length; i++) {
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var word = categoryData[i];
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if (i % 2 === 0) {
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word = '\n' + word;
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}
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categoryDataWithReturn.push(word);
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}
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var categoryData = [
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'北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江',
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'上海','江苏','浙江','安徽','福建','江西','山东','河南',
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'湖北','湖南','广东','广西','海南','重庆','四川','贵州',
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'云南','西藏','陕西','甘肃','青海','宁夏','新疆'
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];
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option = {
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baseOption: {
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timeline: {
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axisType: 'category',
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autoPlay: true,
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playInterval: 1000,
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data: [
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'2002-01-01', '2003-01-01', '2004-01-01',
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'2005-01-01', '2006-01-01', '2007-01-01',
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'2008-01-01', '2009-01-01', '2010-01-01',
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'2011-01-01'
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],
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label: {
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formatter : function(s) {
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return (new Date(s)).getFullYear();
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}
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}
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},
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toolbox: {
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left: 0,
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bottom: 0,
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feature: {
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restore: {}
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}
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},
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title: {
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subtext: 'Media Query 示例'
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},
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tooltip: {
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trigger:'axis',
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axisPointer: {
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type: 'shadow'
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}
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},
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xAxis: {
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type: 'value',
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name: 'GDP（亿元）',
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max: 30000,
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data: null
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},
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yAxis: {
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type: 'category',
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data: categoryData,
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axisLabel: {interval: 0},
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splitLine: {show: false}
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},
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legend: {
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data: ['第一产业', '第二产业', '第三产业', 'GDP', '金融', '房地产'],
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selected: {
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'GDP': false, '金融': false, '房地产': false
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}
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},
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calculable : true,
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series: [
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{name: 'GDP', type: 'bar'},
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{name: '金融', type: 'bar'},
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{name: '房地产', type: 'bar'},
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{name: '第一产业', type: 'bar'},
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{name: '第二产业', type: 'bar'},
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{name: '第三产业', type: 'bar'},
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{name: 'GDP占比', type: 'pie', id: 'pie0'}
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]
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},
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media: [
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{
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option: {
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legend: {
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orient: 'horizontal',
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left: 'right',
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itemGap: 10
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},
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grid: {
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left: '10%',
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top: 80,
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right: 90,
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bottom: 100
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},
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xAxis: {
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nameLocation: 'end',
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nameGap: 10,
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splitLine: {
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show: true
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},
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axisLabel: {
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interval: 'auto'
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}
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},
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timeline: {
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show: true,
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orient: 'horizontal',
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inverse: false,
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left: '20%',
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right: '20%',
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bottom: 10,
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height: 40
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},
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series: [
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{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
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]
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}
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},
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{
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query: {maxWidth: 670, minWidth: 550},
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option: {
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legend: {
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orient: 'horizontal',
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left: 200,
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itemGap: 5
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},
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grid: {
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left: '10%',
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top: 80,
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right: 90,
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bottom: 100
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},
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xAxis: {
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nameLocation: 'end',
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nameGap: 10,
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splitLine: {
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show: true
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},
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axisLabel: {
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interval: 'auto'
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}
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},
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timeline: {
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show: true,
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orient: 'horizontal',
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inverse: false,
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left: '20%',
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right: '20%',
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bottom: 10,
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height: 40
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},
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series: [
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{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
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]
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}
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},
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{
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query: {maxWidth: 550},
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option: {
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legend: {
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orient: 'vertical',
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left: 'right',
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itemGap: 5
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},
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grid: {
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left: 55,
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top: '32%',
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right: 100,
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bottom: 50
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},
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xAxis: {
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nameLocation: 'middle',
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nameGap: 25,
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axisLabel: {
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interval: 1
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}
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},
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timeline: {
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show: true,
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orient: 'vertical',
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inverse: true,
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right: 10,
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top: 150,
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bottom: 10,
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width: 55
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},
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series: [
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{name: 'GDP占比', center: ['45%', '20%'], radius: '28%'}
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]
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}
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},
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{
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query: {maxWidth: 350},
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option: {
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legend: {
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orient: 'vertical',
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left: 'right',
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itemGap: 5
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},
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grid: {
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left: 55,
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top: '32%',
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right: 100,
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bottom: 50
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},
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xAxis: {
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nameLocation: 'middle',
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nameGap: 25,
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axisLabel: {
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interval: 1
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}
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},
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timeline: {
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show: false
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},
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series: [
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{name: 'GDP占比', center: ['45%', '20%'], radius: '28%'}
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]
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}
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}
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],
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options: [
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{
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title: {text: '2002全国宏观经济指标'},
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series: [
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{data: dataMap.dataGDP['2002']},
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{data: dataMap.dataFinancial['2002']},
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{data: dataMap.dataEstate['2002']},
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{data: dataMap.dataPI['2002']},
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{data: dataMap.dataSI['2002']},
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{data: dataMap.dataTI['2002']},
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{data: [
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{name: '第一产业', value: dataMap.dataPI['2002sum']},
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{name: '第二产业', value: dataMap.dataSI['2002sum']},
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{name: '第三产业', value: dataMap.dataTI['2002sum']}
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], id: 'pie0'}
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]
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},
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{
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title : {text: '2003全国宏观经济指标'},
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series : [
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{data: dataMap.dataGDP['2003']},
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{data: dataMap.dataFinancial['2003']},
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{data: dataMap.dataEstate['2003']},
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|||
|
|
{data: dataMap.dataPI['2003']},
|
|||
|
|
{data: dataMap.dataSI['2003']},
|
|||
|
|
{data: dataMap.dataTI['2003']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2003sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2003sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2003sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2004全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2004']},
|
|||
|
|
{data: dataMap.dataFinancial['2004']},
|
|||
|
|
{data: dataMap.dataEstate['2004']},
|
|||
|
|
{data: dataMap.dataPI['2004']},
|
|||
|
|
{data: dataMap.dataSI['2004']},
|
|||
|
|
{data: dataMap.dataTI['2004']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2004sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2004sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2004sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2005全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2005']},
|
|||
|
|
{data: dataMap.dataFinancial['2005']},
|
|||
|
|
{data: dataMap.dataEstate['2005']},
|
|||
|
|
{data: dataMap.dataPI['2005']},
|
|||
|
|
{data: dataMap.dataSI['2005']},
|
|||
|
|
{data: dataMap.dataTI['2005']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2005sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2005sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2005sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2006全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2006']},
|
|||
|
|
{data: dataMap.dataFinancial['2006']},
|
|||
|
|
{data: dataMap.dataEstate['2006']},
|
|||
|
|
{data: dataMap.dataPI['2006']},
|
|||
|
|
{data: dataMap.dataSI['2006']},
|
|||
|
|
{data: dataMap.dataTI['2006']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2006sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2006sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2006sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2007全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2007']},
|
|||
|
|
{data: dataMap.dataFinancial['2007']},
|
|||
|
|
{data: dataMap.dataEstate['2007']},
|
|||
|
|
{data: dataMap.dataPI['2007']},
|
|||
|
|
{data: dataMap.dataSI['2007']},
|
|||
|
|
{data: dataMap.dataTI['2007']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2007sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2007sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2007sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2008全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2008']},
|
|||
|
|
{data: dataMap.dataFinancial['2008']},
|
|||
|
|
{data: dataMap.dataEstate['2008']},
|
|||
|
|
{data: dataMap.dataPI['2008']},
|
|||
|
|
{data: dataMap.dataSI['2008']},
|
|||
|
|
{data: dataMap.dataTI['2008']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2008sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2008sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2008sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2009全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2009']},
|
|||
|
|
{data: dataMap.dataFinancial['2009']},
|
|||
|
|
{data: dataMap.dataEstate['2009']},
|
|||
|
|
{data: dataMap.dataPI['2009']},
|
|||
|
|
{data: dataMap.dataSI['2009']},
|
|||
|
|
{data: dataMap.dataTI['2009']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2009sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2009sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2009sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2010全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2010']},
|
|||
|
|
{data: dataMap.dataFinancial['2010']},
|
|||
|
|
{data: dataMap.dataEstate['2010']},
|
|||
|
|
{data: dataMap.dataPI['2010']},
|
|||
|
|
{data: dataMap.dataSI['2010']},
|
|||
|
|
{data: dataMap.dataTI['2010']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2010sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2010sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2010sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
title : {text: '2011全国宏观经济指标'},
|
|||
|
|
series : [
|
|||
|
|
{data: dataMap.dataGDP['2011']},
|
|||
|
|
{data: dataMap.dataFinancial['2011']},
|
|||
|
|
{data: dataMap.dataEstate['2011']},
|
|||
|
|
{data: dataMap.dataPI['2011']},
|
|||
|
|
{data: dataMap.dataSI['2011']},
|
|||
|
|
{data: dataMap.dataTI['2011']},
|
|||
|
|
{data: [
|
|||
|
|
{name: '第一产业', value: dataMap.dataPI['2011sum']},
|
|||
|
|
{name: '第二产业', value: dataMap.dataSI['2011sum']},
|
|||
|
|
{name: '第三产业', value: dataMap.dataTI['2011sum']}
|
|||
|
|
], id: 'pie0'}
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
chart.setOption(option);
|
|||
|
|
|
|||
|
|
chart.on('legendSelected', function () {
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
window.onresize = chart.resize;
|
|||
|
|
});
|
|||
|
|
</script>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<script type="text/javascript">
|
|||
|
|
function runCode(id) {
|
|||
|
|
var textarea = document.getElementById(id);
|
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|
|
var code = textarea.value;
|
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|
|
(new Function('chart', 'echarts', code))(chart, echarts);
|
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|
|
}
|
|||
|
|
</script>
|
|||
|
|
|
|||
|
|
</body>
|
|||
|
|
</html>
|