学习了两个多月的PeopleSoft,感觉刚刚摸到了门槛，可惜目前没有项目，没有可以更深入学习的机会，此时手头上接到一个JAVA的项目￣□￣｜｜，但总算不用早上搞PeopleSoft,晚上搞JAVA(身心疲惫啊)，相信以后的进度会有所提升。感谢老师一直以来的指导，让我有了更加明确的目标，以后还要更加努力才行！！！
标题组件
标题负责显示整个图表的标题
1.Text:标题文字
2.Subtext:子标题
3.Left,top,right,bottom标题的位置
4.borderColor:边框颜色
5.borderWidth:边框宽度
（只列举几个常用的属性，查看官方文档更加全面）
工具栏组件
组件的工具栏
1.Show:是否显示
2.Feature:具体显示的功能
3.saveAsImage:保存图片
4.Restore:还原
5.dataView:数据视图
6.dataZoom:缩放视图
7.magicType:动态类型切换
tooltip组件
弹窗组件
1.Show:是否显示
2.Trigger:触发方式，axis就是x轴触发
标记线和标记点
1.标记线：markline
标记线的添加
最大值，平均值，最小值的标记线
2.标记点：markpoint
标记点的添加
最大值，品均值，最小值的标记点
任意位置的标记点
示例：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 var option = { title: { show:true, text: ‘ECharts 入门示例‘, subtext:‘学习ECharts‘, left:‘left‘, // 数字就是像素值 ，也可以是 center left right这种值 borderColor:‘red‘, borderWidth:5, textStyle:{ fontSize:20 } }, toolbox: { show: true, feature: { dataView:{ show:true }, restore:{ show:true }, dataZoom:{ show:true }, saveAsImage: { show: true }, magicType: { type: [‘line‘, ‘bar‘] } } }, tooltip: { trigger: ‘axis‘ }, legend: { data: [‘销量‘] }, xAxis: { data: ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"] }, yAxis: {}, series: [{ name: ‘销量‘, type: ‘line‘, data: [5, 20, 36, 10, 10, 20], markPoint: { data: [ {type: ‘max‘, name: ‘最大值‘}, {type: ‘min‘, name: ‘最小值‘,symbol:‘arrow‘} ] }, markLine: { data: [ {type: ‘average‘, name: ‘平均值‘} ] } }] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
饼图
1.饼图展示数据的特点
展示百分比
Type是pie
2.Center圆心坐标
3.Radius半径
4.Name图例名字
5.selectedMode是否支持多选
示例：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 var option = { 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‘, left: ‘left‘, data: [‘直接访问‘,‘邮件营销‘,‘联盟广告‘,‘视频广告‘,‘搜索引擎‘] }, 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‘} ] } ] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
仪表图
1.仪表图展示数据特点
Type是gauge
2.动态修改仪表图数据
示例：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 var option = { tooltip : { formatter: "{a} <br/>{b} : {c}%" }, toolbox: { feature: { restore: {}, saveAsImage: {} } }, series: [ { name: ‘业务指标‘, type: ‘gauge‘, detail: {formatter:‘{value}%‘}, data: [{value: 32, name: ‘完成率‘}] } ] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); setInterval(function () { option.series[0].data[0].value = (Math.random() * 100).toFixed(2) - 0; myChart.setOption(option, true); },2000); </script> </body> </html>
效果：
地图：
示例：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> <script src="../china.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); var geoCoordMap = { ‘上海‘: [121.4648,31.2891], ‘东莞‘: [113.8953,22.901], ‘东营‘: [118.7073,37.5513], ‘中山‘: [113.4229,22.478], ‘临汾‘: [111.4783,36.1615], ‘临沂‘: [118.3118,35.2936], ‘丹东‘: [124.541,40.4242], ‘丽水‘: [119.5642,28.1854], ‘乌鲁木齐‘: [87.9236,43.5883], ‘佛山‘: [112.8955,23.1097], ‘保定‘: [115.0488,39.0948], ‘兰州‘: [103.5901,36.3043], ‘包头‘: [110.3467,41.4899], ‘北京‘: [116.4551,40.2539], ‘北海‘: [109.314,21.6211], ‘南京‘: [118.8062,31.9208], ‘南宁‘: [108.479,23.1152], ‘南昌‘: [116.0046,28.6633], ‘南通‘: [121.1023,32.1625], ‘厦门‘: [118.1689,24.6478], ‘台州‘: [121.1353,28.6688], ‘合肥‘: [117.29,32.0581], ‘呼和浩特‘: [111.4124,40.4901], ‘咸阳‘: [108.4131,34.8706], ‘哈尔滨‘: [127.9688,45.368], ‘唐山‘: [118.4766,39.6826], ‘嘉兴‘: [120.9155,30.6354], ‘大同‘: [113.7854,39.8035], ‘大连‘: [122.2229,39.4409], ‘天津‘: [117.4219,39.4189], ‘太原‘: [112.3352,37.9413], ‘威海‘: [121.9482,37.1393], ‘宁波‘: [121.5967,29.6466], ‘宝鸡‘: [107.1826,34.3433], ‘宿迁‘: [118.5535,33.7775], ‘常州‘: [119.4543,31.5582], ‘广州‘: [113.5107,23.2196], ‘廊坊‘: [116.521,39.0509], ‘延安‘: [109.1052,36.4252], ‘张家口‘: [115.1477,40.8527], ‘徐州‘: [117.5208,34.3268], ‘德州‘: [116.6858,37.2107], ‘惠州‘: [114.6204,23.1647], ‘成都‘: [103.9526,30.7617], ‘扬州‘: [119.4653,32.8162], ‘承德‘: [117.5757,41.4075], ‘拉萨‘: [91.1865,30.1465], ‘无锡‘: [120.3442,31.5527], ‘日照‘: [119.2786,35.5023], ‘昆明‘: [102.9199,25.4663], ‘杭州‘: [119.5313,29.8773], ‘枣庄‘: [117.323,34.8926], ‘柳州‘: [109.3799,24.9774], ‘株洲‘: [113.5327,27.0319], ‘武汉‘: [114.3896,30.6628], ‘汕头‘: [117.1692,23.3405], ‘江门‘: [112.6318,22.1484], ‘沈阳‘: [123.1238,42.1216], ‘沧州‘: [116.8286,38.2104], ‘河源‘: [114.917,23.9722], ‘泉州‘: [118.3228,25.1147], ‘泰安‘: [117.0264,36.0516], ‘泰州‘: [120.0586,32.5525], ‘济南‘: [117.1582,36.8701], ‘济宁‘: [116.8286,35.3375], ‘海口‘: [110.3893,19.8516], ‘淄博‘: [118.0371,36.6064], ‘淮安‘: [118.927,33.4039], ‘深圳‘: [114.5435,22.5439], ‘清远‘: [112.9175,24.3292], ‘温州‘: [120.498,27.8119], ‘渭南‘: [109.7864,35.0299], ‘湖州‘: [119.8608,30.7782], ‘湘潭‘: [112.5439,27.7075], ‘滨州‘: [117.8174,37.4963], ‘潍坊‘: [119.0918,36.524], ‘烟台‘: [120.7397,37.5128], ‘玉溪‘: [101.9312,23.8898], ‘珠海‘: [113.7305,22.1155], ‘盐城‘: [120.2234,33.5577], ‘盘锦‘: [121.9482,41.0449], ‘石家庄‘: [114.4995,38.1006], ‘福州‘: [119.4543,25.9222], ‘秦皇岛‘: [119.2126,40.0232], ‘绍兴‘: [120.564,29.7565], ‘聊城‘: [115.9167,36.4032], ‘肇庆‘: [112.1265,23.5822], ‘舟山‘: [122.2559,30.2234], ‘苏州‘: [120.6519,31.3989], ‘莱芜‘: [117.6526,36.2714], ‘菏泽‘: [115.6201,35.2057], ‘营口‘: [122.4316,40.4297], ‘葫芦岛‘: [120.1575,40.578], ‘衡水‘: [115.8838,37.7161], ‘衢州‘: [118.6853,28.8666], ‘西宁‘: [101.4038,36.8207], ‘西安‘: [109.1162,34.2004], ‘贵阳‘: [106.6992,26.7682], ‘连云港‘: [119.1248,34.552], ‘邢台‘: [114.8071,37.2821], ‘邯郸‘: [114.4775,36.535], ‘郑州‘: [113.4668,34.6234], ‘鄂尔多斯‘: [108.9734,39.2487], ‘重庆‘: [107.7539,30.1904], ‘金华‘: [120.0037,29.1028], ‘铜川‘: [109.0393,35.1947], ‘银川‘: [106.3586,38.1775], ‘镇江‘: [119.4763,31.9702], ‘长春‘: [125.8154,44.2584], ‘长沙‘: [113.0823,28.2568], ‘长治‘: [112.8625,36.4746], ‘阳泉‘: [113.4778,38.0951], ‘青岛‘: [120.4651,36.3373], ‘韶关‘: [113.7964,24.7028] }; var BJData = [ [{name:‘北京‘}, {name:‘上海‘,value:95}], [{name:‘北京‘}, {name:‘广州‘,value:90}], [{name:‘北京‘}, {name:‘大连‘,value:80}], [{name:‘北京‘}, {name:‘南宁‘,value:70}], [{name:‘北京‘}, {name:‘南昌‘,value:60}], [{name:‘北京‘}, {name:‘拉萨‘,value:50}], [{name:‘北京‘}, {name:‘长春‘,value:40}], [{name:‘北京‘}, {name:‘包头‘,value:30}], [{name:‘北京‘}, {name:‘重庆‘,value:20}], [{name:‘北京‘}, {name:‘常州‘,value:10}] ]; var SHData = [ [{name:‘上海‘},{name:‘包头‘,value:95}], [{name:‘上海‘},{name:‘昆明‘,value:90}], [{name:‘上海‘},{name:‘广州‘,value:80}], [{name:‘上海‘},{name:‘郑州‘,value:70}], [{name:‘上海‘},{name:‘长春‘,value:60}], [{name:‘上海‘},{name:‘重庆‘,value:50}], [{name:‘上海‘},{name:‘长沙‘,value:40}], [{name:‘上海‘},{name:‘北京‘,value:30}], [{name:‘上海‘},{name:‘丹东‘,value:20}], [{name:‘上海‘},{name:‘大连‘,value:10}] ]; var GZData = [ [{name:‘广州‘},{name:‘福州‘,value:95}], [{name:‘广州‘},{name:‘太原‘,value:90}], [{name:‘广州‘},{name:‘长春‘,value:80}], [{name:‘广州‘},{name:‘重庆‘,value:70}], [{name:‘广州‘},{name:‘西安‘,value:60}], [{name:‘广州‘},{name:‘成都‘,value:50}], [{name:‘广州‘},{name:‘常州‘,value:40}], [{name:‘广州‘},{name:‘北京‘,value:30}], [{name:‘广州‘},{name:‘北海‘,value:20}], [{name:‘广州‘},{name:‘海口‘,value:10}] ]; var planePath = ‘path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z‘; var convertData = function (data) { var res = []; for (var i = 0; i < data.length; i++) { var dataItem = data[i]; var fromCoord = geoCoordMap[dataItem[0].name]; var toCoord = geoCoordMap[dataItem[1].name]; if (fromCoord && toCoord) { res.push([{ name: dataItem[0].name, coord: fromCoord }, { name: dataItem[1].name, coord: toCoord }]); } } return res; }; var color = [‘#a6c84c‘, ‘#ffa022‘, ‘#46bee9‘]; var series = []; [[‘北京‘, BJData], [‘上海‘, SHData], [‘广州‘, GZData]].forEach(function (item, i) { series.push({ name: item[0] + ‘ Top10‘, type: ‘lines‘, zlevel: 1, effect: { show: true, period: 6, trailLength: 0.7, color: ‘#fff‘, symbolSize: 3 }, lineStyle: { normal: { color: color[i], width: 0, curveness: 0.2 } }, data: convertData(item[1]) }, { name: item[0] + ‘ Top10‘, type: ‘lines‘, zlevel: 2, effect: { show: true, period: 6, trailLength: 0, symbol: planePath, symbolSize: 15 }, lineStyle: { normal: { color: color[i], width: 1, opacity: 0.4, curveness: 0.2 } }, data: convertData(item[1]) }, { name: item[0] + ‘ Top10‘, type: ‘effectScatter‘, coordinateSystem: ‘geo‘, zlevel: 2, rippleEffect: { brushType: ‘stroke‘ }, label: { normal: { show: true, position: ‘right‘, formatter: ‘{b}‘ } }, symbolSize: function (val) { return val[2] / 8; }, itemStyle: { normal: { color: color[i] } }, data: item[1].map(function (dataItem) { return { name: dataItem[1].name, value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value]) }; }) }); }); option = { backgroundColor: ‘#404a59‘, title : { text: ‘模拟迁徙‘, subtext: ‘数据纯属虚构‘, left: ‘center‘, textStyle : { color: ‘#fff‘ } }, tooltip : { trigger: ‘item‘ }, legend: { orient: ‘vertical‘, top: ‘bottom‘, left: ‘right‘, data:[‘北京 Top10‘, ‘上海 Top10‘, ‘广州 Top10‘], textStyle: { color: ‘#fff‘ }, selectedMode: ‘single‘ }, geo: { map: ‘china‘, label: { emphasis: { show: false } }, roam: true, itemStyle: { normal: { areaColor: ‘#323c48‘, borderColor: ‘#404a59‘ }, emphasis: { areaColor: ‘#2a333d‘ } } }, series: series }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
常用图之散点图，K线图和雷达图：
示例：
散点图：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 var dataBJ = [ [1,55,9,56,0.46,18,6,"良"], [2,25,11,21,0.65,34,9,"优"], [3,56,7,63,0.3,14,5,"良"], [4,33,7,29,0.33,16,6,"优"], [5,42,24,44,0.76,40,16,"优"], [6,82,58,90,1.77,68,33,"良"], [7,74,49,77,1.46,48,27,"良"], [8,78,55,80,1.29,59,29,"良"], [9,267,216,280,4.8,108,64,"重度污染"], [10,185,127,216,2.52,61,27,"中度污染"], [11,39,19,38,0.57,31,15,"优"], [12,41,11,40,0.43,21,7,"优"], [13,64,38,74,1.04,46,22,"良"], [14,108,79,120,1.7,75,41,"轻度污染"], [15,108,63,116,1.48,44,26,"轻度污染"], [16,33,6,29,0.34,13,5,"优"], [17,94,66,110,1.54,62,31,"良"], [18,186,142,192,3.88,93,79,"中度污染"], [19,57,31,54,0.96,32,14,"良"], [20,22,8,17,0.48,23,10,"优"], [21,39,15,36,0.61,29,13,"优"], [22,94,69,114,2.08,73,39,"良"], [23,99,73,110,2.43,76,48,"良"], [24,31,12,30,0.5,32,16,"优"], [25,42,27,43,1,53,22,"优"], [26,154,117,157,3.05,92,58,"中度污染"], [27,234,185,230,4.09,123,69,"重度污染"], [28,160,120,186,2.77,91,50,"中度污染"], [29,134,96,165,2.76,83,41,"轻度污染"], [30,52,24,60,1.03,50,21,"良"], [31,46,5,49,0.28,10,6,"优"] ]; var dataGZ = [ [1,26,37,27,1.163,27,13,"优"], [2,85,62,71,1.195,60,8,"良"], [3,78,38,74,1.363,37,7,"良"], [4,21,21,36,0.634,40,9,"优"], [5,41,42,46,0.915,81,13,"优"], [6,56,52,69,1.067,92,16,"良"], [7,64,30,28,0.924,51,2,"良"], [8,55,48,74,1.236,75,26,"良"], [9,76,85,113,1.237,114,27,"良"], [10,91,81,104,1.041,56,40,"良"], [11,84,39,60,0.964,25,11,"良"], [12,64,51,101,0.862,58,23,"良"], [13,70,69,120,1.198,65,36,"良"], [14,77,105,178,2.549,64,16,"良"], [15,109,68,87,0.996,74,29,"轻度污染"], [16,73,68,97,0.905,51,34,"良"], [17,54,27,47,0.592,53,12,"良"], [18,51,61,97,0.811,65,19,"良"], [19,91,71,121,1.374,43,18,"良"], [20,73,102,182,2.787,44,19,"良"], [21,73,50,76,0.717,31,20,"良"], [22,84,94,140,2.238,68,18,"良"], [23,93,77,104,1.165,53,7,"良"], [24,99,130,227,3.97,55,15,"良"], [25,146,84,139,1.094,40,17,"轻度污染"], [26,113,108,137,1.481,48,15,"轻度污染"], [27,81,48,62,1.619,26,3,"良"], [28,56,48,68,1.336,37,9,"良"], [29,82,92,174,3.29,0,13,"良"], [30,106,116,188,3.628,101,16,"轻度污染"], [31,118,50,0,1.383,76,11,"轻度污染"] ]; var dataSH = [ [1,91,45,125,0.82,34,23,"良"], [2,65,27,78,0.86,45,29,"良"], [3,83,60,84,1.09,73,27,"良"], [4,109,81,121,1.28,68,51,"轻度污染"], [5,106,77,114,1.07,55,51,"轻度污染"], [6,109,81,121,1.28,68,51,"轻度污染"], [7,106,77,114,1.07,55,51,"轻度污染"], [8,89,65,78,0.86,51,26,"良"], [9,53,33,47,0.64,50,17,"良"], [10,80,55,80,1.01,75,24,"良"], [11,117,81,124,1.03,45,24,"轻度污染"], [12,99,71,142,1.1,62,42,"良"], [13,95,69,130,1.28,74,50,"良"], [14,116,87,131,1.47,84,40,"轻度污染"], [15,108,80,121,1.3,85,37,"轻度污染"], [16,134,83,167,1.16,57,43,"轻度污染"], [17,79,43,107,1.05,59,37,"良"], [18,71,46,89,0.86,64,25,"良"], [19,97,71,113,1.17,88,31,"良"], [20,84,57,91,0.85,55,31,"良"], [21,87,63,101,0.9,56,41,"良"], [22,104,77,119,1.09,73,48,"轻度污染"], [23,87,62,100,1,72,28,"良"], [24,168,128,172,1.49,97,56,"中度污染"], [25,65,45,51,0.74,39,17,"良"], [26,39,24,38,0.61,47,17,"优"], [27,39,24,39,0.59,50,19,"优"], [28,93,68,96,1.05,79,29,"良"], [29,188,143,197,1.66,99,51,"中度污染"], [30,174,131,174,1.55,108,50,"中度污染"], [31,187,143,201,1.39,89,53,"中度污染"] ]; var schema = [ {name: ‘date‘, index: 0, text: ‘日‘}, {name: ‘AQIindex‘, index: 1, text: ‘AQI指数‘}, {name: ‘PM25‘, index: 2, text: ‘PM2.5‘}, {name: ‘PM10‘, index: 3, text: ‘PM10‘}, {name: ‘CO‘, index: 4, text: ‘一氧化碳（CO）‘}, {name: ‘NO2‘, index: 5, text: ‘二氧化氮（NO2）‘}, {name: ‘SO2‘, index: 6, text: ‘二氧化硫（SO2）‘} ]; var itemStyle = { normal: { opacity: 0.8, shadowBlur: 10, shadowOffsetX: 0, shadowOffsetY: 0, shadowColor: ‘rgba(0, 0, 0, 0.5)‘ } }; option = { backgroundColor: ‘#333‘, color: [ ‘#dd4444‘, ‘#fec42c‘, ‘#80F1BE‘ ], legend: { y: ‘top‘, data: [‘北京‘, ‘上海‘, ‘广州‘], textStyle: { color: ‘#fff‘, fontSize: 16 } }, grid: { x: ‘10%‘, x2: 150, y: ‘18%‘, y2: ‘10%‘ }, tooltip: { padding: 10, backgroundColor: ‘#222‘, borderColor: ‘#777‘, borderWidth: 1, formatter: function (obj) { var value = obj.value; return ‘<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">‘ + obj.seriesName + ‘ ‘ + value[0] + ‘日：‘ + value[7] + ‘</div>‘ + schema[1].text + ‘：‘ + value[1] + ‘<br>‘ + schema[2].text + ‘：‘ + value[2] + ‘<br>‘ + schema[3].text + ‘：‘ + value[3] + ‘<br>‘ + schema[4].text + ‘：‘ + value[4] + ‘<br>‘ + schema[5].text + ‘：‘ + value[5] + ‘<br>‘ + schema[6].text + ‘：‘ + value[6] + ‘<br>‘; } }, xAxis: { type: ‘value‘, name: ‘日期‘, nameGap: 16, nameTextStyle: { color: ‘#fff‘, fontSize: 14 }, max: 31, splitLine: { show: false }, axisLine: { lineStyle: { color: ‘#777‘ } }, axisTick: { lineStyle: { color: ‘#777‘ } }, axisLabel: { formatter: ‘{value}‘, textStyle: { color: ‘#fff‘ } } }, yAxis: { type: ‘value‘, name: ‘AQI指数‘, nameLocation: ‘end‘, nameGap: 20, nameTextStyle: { color: ‘#fff‘, fontSize: 16 }, axisLine: { lineStyle: { color: ‘#777‘ } }, axisTick: { lineStyle: { color: ‘#777‘ } }, splitLine: { show: false }, axisLabel: { textStyle: { color: ‘#fff‘ } } }, visualMap: [ { left: ‘right‘, top: ‘10%‘, dimension: 2, min: 0, max: 250, itemWidth: 30, itemHeight: 120, calculable: true, precision: 0.1, text: [‘圆形大小：PM2.5‘], textGap: 30, textStyle: { color: ‘#fff‘ }, inRange: { symbolSize: [10, 70] }, outOfRange: { symbolSize: [10, 70], color: [‘rgba(255,255,255,.2)‘] }, controller: { inRange: { color: [‘#c23531‘] }, outOfRange: { color: [‘#444‘] } } }, { left: ‘right‘, bottom: ‘5%‘, dimension: 6, min: 0, max: 50, itemHeight: 120, calculable: true, precision: 0.1, text: [‘明暗：二氧化硫‘], textGap: 30, textStyle: { color: ‘#fff‘ }, inRange: { colorLightness: [1, 0.5] }, outOfRange: { color: [‘rgba(255,255,255,.2)‘] }, controller: { inRange: { color: [‘#c23531‘] }, outOfRange: { color: [‘#444‘] } } } ], series: [ { name: ‘北京‘, type: ‘scatter‘, itemStyle: itemStyle, data: dataBJ }, { name: ‘上海‘, type: ‘scatter‘, itemStyle: itemStyle, data: dataSH }, { name: ‘广州‘, type: ‘scatter‘, itemStyle: itemStyle, data: dataGZ } ] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
K线图：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 // 数据意义：开盘(open)，收盘(close)，最低(lowest)，最高(highest) var data0 = splitData([ [‘2013/1/24‘, 2320.26,2320.26,2287.3,2362.94], [‘2013/1/25‘, 2300,2291.3,2288.26,2308.38], [‘2013/1/28‘, 2295.35,2346.5,2295.35,2346.92], [‘2013/1/29‘, 2347.22,2358.98,2337.35,2363.8], [‘2013/1/30‘, 2360.75,2382.48,2347.89,2383.76], [‘2013/1/31‘, 2383.43,2385.42,2371.23,2391.82], [‘2013/2/1‘, 2377.41,2419.02,2369.57,2421.15], [‘2013/2/4‘, 2425.92,2428.15,2417.58,2440.38], [‘2013/2/5‘, 2411,2433.13,2403.3,2437.42], [‘2013/2/6‘, 2432.68,2434.48,2427.7,2441.73], [‘2013/2/7‘, 2430.69,2418.53,2394.22,2433.89], [‘2013/2/8‘, 2416.62,2432.4,2414.4,2443.03], [‘2013/2/18‘, 2441.91,2421.56,2415.43,2444.8], [‘2013/2/19‘, 2420.26,2382.91,2373.53,2427.07], [‘2013/2/20‘, 2383.49,2397.18,2370.61,2397.94], [‘2013/2/21‘, 2378.82,2325.95,2309.17,2378.82], [‘2013/2/22‘, 2322.94,2314.16,2308.76,2330.88], [‘2013/2/25‘, 2320.62,2325.82,2315.01,2338.78], [‘2013/2/26‘, 2313.74,2293.34,2289.89,2340.71], [‘2013/2/27‘, 2297.77,2313.22,2292.03,2324.63], [‘2013/2/28‘, 2322.32,2365.59,2308.92,2366.16], [‘2013/3/1‘, 2364.54,2359.51,2330.86,2369.65], [‘2013/3/4‘, 2332.08,2273.4,2259.25,2333.54], [‘2013/3/5‘, 2274.81,2326.31,2270.1,2328.14], [‘2013/3/6‘, 2333.61,2347.18,2321.6,2351.44], [‘2013/3/7‘, 2340.44,2324.29,2304.27,2352.02], [‘2013/3/8‘, 2326.42,2318.61,2314.59,2333.67], [‘2013/3/11‘, 2314.68,2310.59,2296.58,2320.96], [‘2013/3/12‘, 2309.16,2286.6,2264.83,2333.29], [‘2013/3/13‘, 2282.17,2263.97,2253.25,2286.33], [‘2013/3/14‘, 2255.77,2270.28,2253.31,2276.22], [‘2013/3/15‘, 2269.31,2278.4,2250,2312.08], [‘2013/3/18‘, 2267.29,2240.02,2239.21,2276.05], [‘2013/3/19‘, 2244.26,2257.43,2232.02,2261.31], [‘2013/3/20‘, 2257.74,2317.37,2257.42,2317.86], [‘2013/3/21‘, 2318.21,2324.24,2311.6,2330.81], [‘2013/3/22‘, 2321.4,2328.28,2314.97,2332], [‘2013/3/25‘, 2334.74,2326.72,2319.91,2344.89], [‘2013/3/26‘, 2318.58,2297.67,2281.12,2319.99], [‘2013/3/27‘, 2299.38,2301.26,2289,2323.48], [‘2013/3/28‘, 2273.55,2236.3,2232.91,2273.55], [‘2013/3/29‘, 2238.49,2236.62,2228.81,2246.87], [‘2013/4/1‘, 2229.46,2234.4,2227.31,2243.95], [‘2013/4/2‘, 2234.9,2227.74,2220.44,2253.42], [‘2013/4/3‘, 2232.69,2225.29,2217.25,2241.34], [‘2013/4/8‘, 2196.24,2211.59,2180.67,2212.59], [‘2013/4/9‘, 2215.47,2225.77,2215.47,2234.73], [‘2013/4/10‘, 2224.93,2226.13,2212.56,2233.04], [‘2013/4/11‘, 2236.98,2219.55,2217.26,2242.48], [‘2013/4/12‘, 2218.09,2206.78,2204.44,2226.26], [‘2013/4/15‘, 2199.91,2181.94,2177.39,2204.99], [‘2013/4/16‘, 2169.63,2194.85,2165.78,2196.43], [‘2013/4/17‘, 2195.03,2193.8,2178.47,2197.51], [‘2013/4/18‘, 2181.82,2197.6,2175.44,2206.03], [‘2013/4/19‘, 2201.12,2244.64,2200.58,2250.11], [‘2013/4/22‘, 2236.4,2242.17,2232.26,2245.12], [‘2013/4/23‘, 2242.62,2184.54,2182.81,2242.62], [‘2013/4/24‘, 2187.35,2218.32,2184.11,2226.12], [‘2013/4/25‘, 2213.19,2199.31,2191.85,2224.63], [‘2013/4/26‘, 2203.89,2177.91,2173.86,2210.58], [‘2013/5/2‘, 2170.78,2174.12,2161.14,2179.65], [‘2013/5/3‘, 2179.05,2205.5,2179.05,2222.81], [‘2013/5/6‘, 2212.5,2231.17,2212.5,2236.07], [‘2013/5/7‘, 2227.86,2235.57,2219.44,2240.26], [‘2013/5/8‘, 2242.39,2246.3,2235.42,2255.21], [‘2013/5/9‘, 2246.96,2232.97,2221.38,2247.86], [‘2013/5/10‘, 2228.82,2246.83,2225.81,2247.67], [‘2013/5/13‘, 2247.68,2241.92,2231.36,2250.85], [‘2013/5/14‘, 2238.9,2217.01,2205.87,2239.93], [‘2013/5/15‘, 2217.09,2224.8,2213.58,2225.19], [‘2013/5/16‘, 2221.34,2251.81,2210.77,2252.87], [‘2013/5/17‘, 2249.81,2282.87,2248.41,2288.09], [‘2013/5/20‘, 2286.33,2299.99,2281.9,2309.39], [‘2013/5/21‘, 2297.11,2305.11,2290.12,2305.3], [‘2013/5/22‘, 2303.75,2302.4,2292.43,2314.18], [‘2013/5/23‘, 2293.81,2275.67,2274.1,2304.95], [‘2013/5/24‘, 2281.45,2288.53,2270.25,2292.59], [‘2013/5/27‘, 2286.66,2293.08,2283.94,2301.7], [‘2013/5/28‘, 2293.4,2321.32,2281.47,2322.1], [‘2013/5/29‘, 2323.54,2324.02,2321.17,2334.33], [‘2013/5/30‘, 2316.25,2317.75,2310.49,2325.72], [‘2013/5/31‘, 2320.74,2300.59,2299.37,2325.53], [‘2013/6/3‘, 2300.21,2299.25,2294.11,2313.43], [‘2013/6/4‘, 2297.1,2272.42,2264.76,2297.1], [‘2013/6/5‘, 2270.71,2270.93,2260.87,2276.86], [‘2013/6/6‘, 2264.43,2242.11,2240.07,2266.69], [‘2013/6/7‘, 2242.26,2210.9,2205.07,2250.63], [‘2013/6/13‘, 2190.1,2148.35,2126.22,2190.1] ]); function splitData(rawData) { var categoryData = []; var values = [] for (var i = 0; i < rawData.length; i++) { categoryData.push(rawData[i].splice(0, 1)[0]); values.push(rawData[i]) } return { categoryData: categoryData, values: values }; } function calculateMA(dayCount) { var result = []; for (var i = 0, len = data0.values.length; i < len; i++) { if (i < dayCount) { result.push(‘-‘); continue; } var sum = 0; for (var j = 0; j < dayCount; j++) { sum += data0.values[i - j][1]; } result.push(sum / dayCount); } return result; } option = { title: { text: ‘上证指数‘, left: 0 }, tooltip: { trigger: ‘axis‘, axisPointer: { type: ‘line‘ } }, legend: { data: [‘日K‘, ‘MA5‘, ‘MA10‘, ‘MA20‘, ‘MA30‘] }, grid: { left: ‘10%‘, right: ‘10%‘, bottom: ‘15%‘ }, xAxis: { type: ‘category‘, data: data0.categoryData, scale: true, boundaryGap : false, axisLine: {onZero: false}, splitLine: {show: false}, splitNumber: 20, min: ‘dataMin‘, max: ‘dataMax‘ }, yAxis: { scale: true, splitArea: { show: true } }, dataZoom: [ { type: ‘inside‘, start: 50, end: 100 }, { show: true, type: ‘slider‘, y: ‘90%‘, start: 50, end: 100 } ], series: [ { name: ‘日K‘, type: ‘candlestick‘, data: data0.values, markPoint: { label: { normal: { formatter: function (param) { return param != null ? Math.round(param.value) : ‘‘; } } }, data: [ { name: ‘XX标点‘, coord: [‘2013/5/31‘, 2300], value: 2300, itemStyle: { normal: {color: ‘rgb(41,60,85)‘} } }, { name: ‘highest value‘, type: ‘max‘, valueDim: ‘highest‘ }, { name: ‘lowest value‘, type: ‘min‘, valueDim: ‘lowest‘ }, { name: ‘average value on close‘, type: ‘average‘, valueDim: ‘close‘ } ], tooltip: { formatter: function (param) { return param.name + ‘<br>‘ + (param.data.coord || ‘‘); } } }, markLine: { symbol: [‘none‘, ‘none‘], data: [ [ { name: ‘from lowest to highest‘, type: ‘min‘, valueDim: ‘lowest‘, symbol: ‘circle‘, symbolSize: 10, label: { normal: {show: false}, emphasis: {show: false} } }, { type: ‘max‘, valueDim: ‘highest‘, symbol: ‘circle‘, symbolSize: 10, label: { normal: {show: false}, emphasis: {show: false} } } ], { name: ‘min line on close‘, type: ‘min‘, valueDim: ‘close‘ }, { name: ‘max line on close‘, type: ‘max‘, valueDim: ‘close‘ } ] } }, { name: ‘MA5‘, type: ‘line‘, data: calculateMA(5), smooth: true, lineStyle: { normal: {opacity: 0.5} } }, { name: ‘MA10‘, type: ‘line‘, data: calculateMA(10), smooth: true, lineStyle: { normal: {opacity: 0.5} } }, { name: ‘MA20‘, type: ‘line‘, data: calculateMA(20), smooth: true, lineStyle: { normal: {opacity: 0.5} } }, { name: ‘MA30‘, type: ‘line‘, data: calculateMA(30), smooth: true, lineStyle: { normal: {opacity: 0.5} } }, ] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
雷达图：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>ECharts</title> <!-- 引入 echarts.js --> <script src="../echarts.min.js"></script> </head> <body> <!-- 为ECharts准备一个具备大小（宽高）的Dom --> <div id="main" style="width: 900px;height:600px;"></div> <script type="text/javascript"> // 基于准备好的dom，初始化echarts实例 var myChart = echarts.init(document.getElementById(‘main‘)); // 指定图表的配置项和数据 option = { title: { text: ‘基础雷达图‘ }, tooltip: {}, legend: { data: [‘预算分配（Allocated Budget）‘, ‘实际开销（Actual Spending）‘] }, radar: { // shape: ‘circle‘, indicator: [ { name: ‘销售（sales）‘, max: 6500}, { name: ‘管理（Administration）‘, max: 16000}, { name: ‘信息技术（Information Techology）‘, max: 30000}, { name: ‘客服（Customer Support）‘, max: 38000}, { name: ‘研发（Development）‘, max: 52000}, { name: ‘市场（Marketing）‘, max: 25000} ] }, series: [{ name: ‘预算 vs 开销（Budget vs spending）‘, type: ‘radar‘, // areaStyle: {normal: {}}, data : [ { value : [4300, 10000, 28000, 35000, 50000, 19000], name : ‘预算分配（Allocated Budget）‘ }, { value : [5000, 14000, 28000, 31000, 42000, 21000], name : ‘实际开销（Actual Spending）‘ } ] }] }; // 使用刚指定的配置项和数据显示图表。 myChart.setOption(option); </script> </body> </html>
效果：
如果有不理解的，请看其官网中的API:http://echarts.baidu.com/api.html#echarts,相信每个人都能从中有所收获！！！