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！！！
原文地址：https://www.cnblogs.com/wsyblog/p/8367533.html
时间： 2024-10-23 07:05:32