ECharts实例开发学习笔记二——时间轴
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记录一下ECharts时间轴的使用,首先是照着官方的示例做一遍,在这里不要忘了引入timelineOption.js,后面介绍如何动态创建时间轴的记录数,即根据需求可伸缩显示有多少天或者年月等轴标记数。
官网demo:
- <!DOCTYPE html>
- <html>
- <head>
- <meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
- <title>a</title>
- <style>
- body{background-color:#000000}
- </style>
- </head>
- <body>
- <div id="main" style="height:500px;width: 100%; margin-left: 0px;float: left;"></div>
- <!-- 本地引入ECharts,\'js/dist/\'本地文件路径下 -->
- <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>
- <script src="http://echarts.baidu.com/doc/example/timelineOption.js"></script>
- <script type="text/javascript">
- // 路径配置,\'./js/dist\'本地文件路径
- require.config({
- paths: {
- echarts: \'http://echarts.baidu.com/build/dist\'
- }
- });
- require(
- [
- \'echarts\',
- \'echarts/chart/line\', // 按需加载所需图表,如需动态类型切换功能,别忘了同时加载相应图表
- \'echarts/chart/bar\'
- ],
- function (ec) {
- var myChart = ec.init(document.getElementById(\'main\'));
- option = {
- timeline:{
- data:[
- \'2002-01-01\',\'2003-01-01\',\'2004-01-01\',\'2005-01-01\',\'2006-01-01\',
- \'2007-01-01\',\'2008-01-01\',\'2009-01-01\',\'2010-01-01\',\'2011-01-01\'
- ],
- label : {
- formatter : function(s) {
- return s.slice(0, 4);
- }
- },
- autoPlay : true,
- playInterval : 1000
- },
- options:[
- {
- title : {
- \'text\':\'2002全国宏观经济指标\',
- \'subtext\':\'数据来自国家统计局\'
- },
- tooltip : {\'trigger\':\'axis\'},
- legend : {
- x:\'right\',
- \'data\':[\'GDP\',\'金融\',\'房地产\',\'第一产业\',\'第二产业\',\'第三产业\'],
- \'selected\':{
- \'GDP\':true,
- \'金融\':false,
- \'房地产\':true,
- \'第一产业\':false,
- \'第二产业\':false,
- \'第三产业\':false
- }
- },
- toolbox : {
- \'show\':true,
- orient : \'vertical\',
- x: \'right\',
- y: \'center\',
- \'feature\':{
- \'mark\':{\'show\':true},
- \'dataView\':{\'show\':true,\'readOnly\':false},
- \'magicType\':{\'show\':true,\'type\':[\'line\',\'bar\',\'stack\',\'tiled\']},
- \'restore\':{\'show\':true},
- \'saveAsImage\':{\'show\':true}
- }
- },
- calculable : true,
- grid : {\'y\':80,\'y2\':100},
- xAxis : [{
- \'type\':\'category\',
- \'axisLabel\':{\'interval\':0},
- \'data\':[
- \'北京\',\'\\n天津\',\'河北\',\'\\n山西\',\'内蒙古\',\'\\n辽宁\',\'吉林\',\'\\n黑龙江\',
- \'上海\',\'\\n江苏\',\'浙江\',\'\\n安徽\',\'福建\',\'\\n江西\',\'山东\',\'\\n河南\',
- \'湖北\',\'\\n湖南\',\'广东\',\'\\n广西\',\'海南\',\'\\n重庆\',\'四川\',\'\\n贵州\',
- \'云南\',\'\\n西藏\',\'陕西\',\'\\n甘肃\',\'青海\',\'\\n宁夏\',\'新疆\'
- ]
- }],
- yAxis : [
- {
- \'type\':\'value\',
- \'name\':\'GDP(亿元)\',
- \'max\':53500
- },
- {
- \'type\':\'value\',
- \'name\':\'其他(亿元)\'
- }
- ],
- series : [
- {
- \'name\':\'GDP\',
- \'type\':\'bar\',
- \'markLine\':{
- symbol : [\'arrow\',\'none\'],
- symbolSize : [4, 2],
- itemStyle : {
- normal: {
- lineStyle: {color:\'orange\'},
- barBorderColor:\'orange\',
- label:{
- position:\'left\',
- formatter:function(params){
- return Math.round(params.value);
- },
- textStyle:{color:\'orange\'}
- }
- }
- },
- \'data\':[{\'type\':\'average\',\'name\':\'平均值\'}]
- },
- \'data\': dataMap.dataGDP[\'2002\']
- },
- {
- \'name\':\'金融\',\'yAxisIndex\':1,\'type\':\'bar\',
- \'data\': dataMap.dataFinancial[\'2002\']
- },
- {
- \'name\':\'房地产\',\'yAxisIndex\':1,\'type\':\'bar\',
- \'data\': dataMap.dataEstate[\'2002\']
- },
- {
- \'name\':\'第一产业\',\'yAxisIndex\':1,\'type\':\'bar\',
- \'data\': dataMap.dataPI[\'2002\']
- },
- {
- \'name\':\'第二产业\',\'yAxisIndex\':1,\'type\':\'bar\',
- \'data\': dataMap.dataSI[\'2002\']
- },
- {
- \'name\':\'第三产业\',\'yAxisIndex\':1,\'type\':\'bar\',
- \'data\': dataMap.dataTI[\'2002\']
- }
- ]
- },
- {
- title : {\'text\':\'2003全国宏观经济指标\'},
- series : [
- {\'data\': dataMap.dataGDP[\'2003\']},
- {\'data\': dataMap.dataFinancial[\'2003\']},
- {\'data\': dataMap.dataEstate[\'2003\']},
- {\'data\': dataMap.dataPI[\'2003\']},
- {\'data\': dataMap.dataSI[\'2003\']},
- {\'data\': dataMap.dataTI[\'2003\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- },
- {
- 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\']}
- ]
- }
- ]
- };
- myChart.setOption(option);
- }
- );
- </script>
- <?php
- ?>
- </body>
- </html>
以上为官方的静态数据写入方式,下面介绍根据需求动态添加数据方式:
- <!DOCTYPE html>
- <html>
- <head>
- <meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
- <title>a</title>
- <style>
- body{background-color:#000000}
- </style>
- </head>
- <body>
- <div id="main" style="height:500px;width: 100%; margin-left: 0px;float: left;"></div>
- <!-- 本地引入ECharts,\'js/dist/\'本地文件路径下 -->
- <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>
- <script src="http://echarts.baidu.com/doc/example/timelineOption.js"></script>
- <script type="text/javascript">
- // 路径配置,\'./js/dist\'本地文件路径
- require.config({
- paths: {
- echarts: \'http://echarts.baidu.com/build/dist\'
- }
- });
- require(
- [
- \'echarts\',
- \'echarts/chart/line\', // 按需加载所需图表,如需动态类型切换功能,别忘了同时加载相应图表
- \'echarts/chart/bar\'
- ],
- function (ec) {
- var myChart = ec.init(document.getElementById(\'main\'));
- var text = \'[{"NAME":"2002-01-01","VAL":"53"},{"NAME":"2003-01-01","VAL":"20"},{"NAME":"2004-01-01","VAL":"33"},{"NAME":"2005-01-01","VAL":"43"},{"NAME":"2006-01-01","VAL":"28"},{"NAME":"2007-01-01","VAL":"29"},{"NAME":"2008-01-01","VAL":"43"},{"NAME":"2009-01-01","VAL":"28"},{"NAME":"2010-01-01","VAL":"29"},{"NAME":"2011-01-01","VAL":"29"}]\';
- var json = JSON.parse(text);
- option = {&n
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