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echarts 两个图表 两图表 多个图表 多图表的例子 有大用
星期四, 2017-11-09 02:48 — adminshiping1
来自 http://download.csdn.net/download/qq_24435639/8927291 下载
<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>ECharts-标签式单文件引入</title> </head> <body> <!--Step:1 为ECharts准备一个具备大小（宽高）的Dom--> <div id="main" style="height:400px;border:1px solid #ccc;margin:0 auto;"></div> <div id="mainMap" style="height:400px;border:1px solid #ccc;margin:0 auto;"></div> <div id="mainPie" style="height:400px;border:1px solid #ccc;margin:0 auto;"></div> <div id="mainLine" style="height:400px;border:1px solid #ccc;margin:0 auto;"></div> <!--Step:2 引入echarts-all.js--> <script src="js/echarts-all.js"></script> <script type="text/javascript"> // Step:3 echarts和zrender被echarts-plain.js写入为全局接口 var myChart = echarts.init(document.getElementById('main')); myChart.setOption({ tooltip : { trigger: 'axis' }, legend: { data:['蒸发量','降水量'] }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', data : ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'] } ], yAxis : [ { type : 'value', splitArea : {show : true} } ], series : [ { name:'蒸发量', type:'bar', data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3] }, { name:'降水量', type:'bar', data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3] } ] }); // --- 地图 --- var myChart2 = echarts.init(document.getElementById('mainMap')); myChart2.setOption({ tooltip : { trigger: 'item', formatter: '{b}' }, series : [ { name: '中国', type: 'map', mapType: 'china', selectedMode : 'multiple', itemStyle:{ normal:{label:{show:true}}, emphasis:{label:{show:true}} }, data:[ {name:'广东',selected:true} ] } ] }); // --- Pie --- var myChart3 = echarts.init(document.getElementById('mainPie')); var option3 = { title : { text: '某站点用户访问来源', subtext: '纯属虚构', x:'center' }, tooltip : { trigger: 'item', formatter: "{a} <br/>{b} : {c} ({d}%)" }, legend: { orient : 'vertical', x : 'left', data:['直接访问','邮件营销','联盟广告','视频广告','搜索引擎'] }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : { show: true, type: ['pie', 'funnel'], option: { funnel: { x: '25%', width: '50%', funnelAlign: 'left', max: 1548 } } }, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, series : [ { name:'访问来源', type:'pie', radius : '55%', center: ['50%', '60%'], data:[ {value:335, name:'直接访问'}, {value:310, name:'邮件营销'}, {value:234, name:'联盟广告'}, {value:135, name:'视频广告'}, {value:1548, name:'搜索引擎'} ] } ] }; myChart3.setOption(option3); // -- Line -- var myChart4 = echarts.init(document.getElementById('mainLine')); myChart4.setOption({ title : { text: '未来一周气温变化', subtext: '纯属虚构' }, tooltip : { trigger: 'axis' }, legend: { data:['最高气温','最低气温'] }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', boundaryGap : false, data : ['周一','周二','周三','周四','周五','周六','周日'] } ], yAxis : [ { type : 'value', axisLabel : { formatter: '{value} °C' } } ], series : [ { name:'最高气温', type:'line', data:[11, 11, 15, 13, 12, 13, 10], markPoint : { data : [ {type : 'max', name: '最大值'}, {type : 'min', name: '最小值'} ] }, markLine : { data : [ {type : 'average', name: '平均值'} ] } }, { name:'最低气温', type:'line', data:[1, -2, 2, 5, 3, 2, 0], markPoint : { data : [ {name : '周最低', value : -2, xAxis: 1, yAxis: -1.5} ] }, markLine : { data : [ {type : 'average', name : '平均值'} ] } } ] }); </script> </body> </html>
来自 http://download.csdn.net/download/qq_24435639/8927291 下载
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