备忘


浏览器画图原理

  • Canvas
    基于像素
    单个html,类似于画笔在画布上画画
    Echarts基于canvas画图

  • Svg
    基于对象模型
    多个图形元素
    高保真

下载安装

官网

在线定制下载echarts.min.js

快速上手

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<!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: 600px;height:400px;"></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: 'ECharts 入门示例'
},
tooltip: {},
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: 'bar',
data: [5, 20, 36, 10, 10, 20]
}]
};

// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
  • Echarts.init()
    初始化Echarts实例
    setOption用指定数据绘图

  • Option对象
    标题:title
    图例:legend
    X轴:xAxis
    数据:series:[{name:’xx’, type:’xx’, data:[xxx]}]

折线图

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series: [{
name: '销量',
type: 'bar',
data: [5, 20, 36, 10, 10, 20]
},{
name: '产量',
type: 'line',
data: [7, 30, 50, 11, 40, 80]
}]

常用图

标题

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title: {
show: true,
text: 'ECharts 入门示例',
subtext: '这是副标题知道不',
left: 100, //或者center left这种
borderColor: 'red',
borderWidth: 5
},

工具箱

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toolbox: {
show: true,
feature: {
dataView: {
show: true
},
restore: { //还原
show: true
},
dataZoom: {
show: true
},
saveAsImage: {
show: true
},
magicType: {
type: ['line', 'bar']
}
}
},

弹窗

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tooltip: {
trigger: 'axis'
},

标记线和标记点

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    series: [{
name: '销量',
type: 'bar',
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'}
]
}
}]
};

饼图

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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'}
]
}
]
};

仪表图

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series: [
{
name: '业务指标',
type: 'gauge',
detail: {formatter:'{value}%'},
data: [{value: 32, name:'完成率'}]
}
]
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// 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);

地图

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<!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>

china.js

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(function (root, factory) {
if (typeof define === 'function' && define.amd) {
// AMD. Register as an anonymous module.
define(['exports', 'echarts'], factory);
} else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') {
// CommonJS
factory(exports, require('echarts'));
} else {
// Browser globals
factory({}, root.echarts);
}
}(this, function (exports, echarts) {
var log = function (msg) {
if (typeof console !== 'undefined') {
console && console.error && console.error(msg);
}
}
if (!echarts) {
log('ECharts is not Loaded');
return;
}
if (!echarts.registerMap) {
log('ECharts Map is not loaded')
return;
}
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<!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>

K线图

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<!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>

雷达图

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<!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>

高级使用

多个坐标轴

两个图标合并展示
设置两个y轴
配置多个yaxis属性

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<!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 = {
tooltip: {
trigger: 'axis'
},
toolbox: {
feature: {
dataView: {
show: true,
readOnly: false
},
magicType: {
show: true,
type: ['line', 'bar']
},
restore: {
show: true
},
saveAsImage: {
show: true
}
}
},
legend: {
data: ['蒸发量', '降水量', '平均温度']
},
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',
name: '水量',
min: 0,
max: 250,
interval: 50,
axisLabel: {
formatter: '{value} ml'
}
}, {
type: 'value',
name: '温度',
min: 0,
max: 25,
interval: 5,
axisLabel: {
formatter: '{value} °C'
}
}],
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]
}, {
name: '平均温度',
type: 'line',
yAxisIndex: 1,
data: [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
}]
};


// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>

</html>

dataZoom

x轴可以控制区域
区间显示
缩放显示
常用于大数据

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<!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'));

var base = +new Date(1968, 9, 3);
var oneDay = 24 * 3600 * 1000;
var date = [];

var data = [Math.random() * 300];

for (var i = 1; i < 20000; i++) {
var now = new Date(base += oneDay);
date.push([now.getFullYear(), now.getMonth() + 1, now.getDate()].join('-'));
data.push(Math.round((Math.random() - 0.5) * 20 + data[i - 1]));
}

option = {
tooltip: {
trigger: 'axis',
position: function(pt) {
return [pt[0], '10%'];
}
},
title: {
left: 'center',
text: '大数据量折线图',
},
legend: {
top: 'bottom',
data: ['意向']
},
toolbox: {
show: true,
feature: {
dataView: {
show: true,
readOnly: false
},
magicType: {
show: true,
type: ['line', 'bar', 'stack', 'tiled']
},
restore: {
show: true
},
saveAsImage: {
show: true
}
}
},
xAxis: {
type: 'category',
boundaryGap: false,
data: date
},
yAxis: {
type: 'value',
boundaryGap: [0, '100%']
},
dataZoom: [{
type: 'slider',
start: 10,
end: 40
}],
series: [{
name: '模拟数据',
type: 'line',
smooth: true,
symbol: 'none',
sampling: 'average',
itemStyle: {
normal: {
color: 'rgb(255, 70, 131)'
}
},
areaStyle: {
normal: {
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
offset: 0,
color: 'rgb(255, 158, 68)'
}, {
offset: 1,
color: 'rgb(255, 70, 131)'
}])
}
},
data: data
}]
};


// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>

</html>

值域选择

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<!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'));

// 指定图表的配置项和数据
var geoCoordMap = {
"海门": [121.15, 31.89],
"鄂尔多斯": [109.781327, 39.608266],
"招远": [120.38, 37.35],
"舟山": [122.207216, 29.985295],
"齐齐哈尔": [123.97, 47.33],
"盐城": [120.13, 33.38],
"赤峰": [118.87, 42.28],
"青岛": [120.33, 36.07],
"乳山": [121.52, 36.89],
"金昌": [102.188043, 38.520089],
"泉州": [118.58, 24.93],
"莱西": [120.53, 36.86],
"日照": [119.46, 35.42],
"胶南": [119.97, 35.88],
"南通": [121.05, 32.08],
"拉萨": [91.11, 29.97],
"云浮": [112.02, 22.93],
"梅州": [116.1, 24.55],
"文登": [122.05, 37.2],
"上海": [121.48, 31.22],
"攀枝花": [101.718637, 26.582347],
"威海": [122.1, 37.5],
"承德": [117.93, 40.97],
"厦门": [118.1, 24.46],
"汕尾": [115.375279, 22.786211],
"潮州": [116.63, 23.68],
"丹东": [124.37, 40.13],
"太仓": [121.1, 31.45],
"曲靖": [103.79, 25.51],
"烟台": [121.39, 37.52],
"福州": [119.3, 26.08],
"瓦房店": [121.979603, 39.627114],
"即墨": [120.45, 36.38],
"抚顺": [123.97, 41.97],
"玉溪": [102.52, 24.35],
"张家口": [114.87, 40.82],
"阳泉": [113.57, 37.85],
"莱州": [119.942327, 37.177017],
"湖州": [120.1, 30.86],
"汕头": [116.69, 23.39],
"昆山": [120.95, 31.39],
"宁波": [121.56, 29.86],
"湛江": [110.359377, 21.270708],
"揭阳": [116.35, 23.55],
"荣成": [122.41, 37.16],
"连云港": [119.16, 34.59],
"葫芦岛": [120.836932, 40.711052],
"常熟": [120.74, 31.64],
"东莞": [113.75, 23.04],
"河源": [114.68, 23.73],
"淮安": [119.15, 33.5],
"泰州": [119.9, 32.49],
"南宁": [108.33, 22.84],
"营口": [122.18, 40.65],
"惠州": [114.4, 23.09],
"江阴": [120.26, 31.91],
"蓬莱": [120.75, 37.8],
"韶关": [113.62, 24.84],
"嘉峪关": [98.289152, 39.77313],
"广州": [113.23, 23.16],
"延安": [109.47, 36.6],
"太原": [112.53, 37.87],
"清远": [113.01, 23.7],
"中山": [113.38, 22.52],
"昆明": [102.73, 25.04],
"寿光": [118.73, 36.86],
"盘锦": [122.070714, 41.119997],
"长治": [113.08, 36.18],
"深圳": [114.07, 22.62],
"珠海": [113.52, 22.3],
"宿迁": [118.3, 33.96],
"咸阳": [108.72, 34.36],
"铜川": [109.11, 35.09],
"平度": [119.97, 36.77],
"佛山": [113.11, 23.05],
"海口": [110.35, 20.02],
"江门": [113.06, 22.61],
"章丘": [117.53, 36.72],
"肇庆": [112.44, 23.05],
"大连": [121.62, 38.92],
"临汾": [111.5, 36.08],
"吴江": [120.63, 31.16],
"石嘴山": [106.39, 39.04],
"沈阳": [123.38, 41.8],
"苏州": [120.62, 31.32],
"茂名": [110.88, 21.68],
"嘉兴": [120.76, 30.77],
"长春": [125.35, 43.88],
"胶州": [120.03336, 36.264622],
"银川": [106.27, 38.47],
"张家港": [120.555821, 31.875428],
"三门峡": [111.19, 34.76],
"锦州": [121.15, 41.13],
"南昌": [115.89, 28.68],
"柳州": [109.4, 24.33],
"三亚": [109.511909, 18.252847],
"自贡": [104.778442, 29.33903],
"吉林": [126.57, 43.87],
"阳江": [111.95, 21.85],
"泸州": [105.39, 28.91],
"西宁": [101.74, 36.56],
"宜宾": [104.56, 29.77],
"呼和浩特": [111.65, 40.82],
"成都": [104.06, 30.67],
"大同": [113.3, 40.12],
"镇江": [119.44, 32.2],
"桂林": [110.28, 25.29],
"张家界": [110.479191, 29.117096],
"宜兴": [119.82, 31.36],
"北海": [109.12, 21.49],
"西安": [108.95, 34.27],
"金坛": [119.56, 31.74],
"东营": [118.49, 37.46],
"牡丹江": [129.58, 44.6],
"遵义": [106.9, 27.7],
"绍兴": [120.58, 30.01],
"扬州": [119.42, 32.39],
"常州": [119.95, 31.79],
"潍坊": [119.1, 36.62],
"重庆": [106.54, 29.59],
"台州": [121.420757, 28.656386],
"南京": [118.78, 32.04],
"滨州": [118.03, 37.36],
"贵阳": [106.71, 26.57],
"无锡": [120.29, 31.59],
"本溪": [123.73, 41.3],
"克拉玛依": [84.77, 45.59],
"渭南": [109.5, 34.52],
"马鞍山": [118.48, 31.56],
"宝鸡": [107.15, 34.38],
"焦作": [113.21, 35.24],
"句容": [119.16, 31.95],
"北京": [116.46, 39.92],
"徐州": [117.2, 34.26],
"衡水": [115.72, 37.72],
"包头": [110, 40.58],
"绵阳": [104.73, 31.48],
"乌鲁木齐": [87.68, 43.77],
"枣庄": [117.57, 34.86],
"杭州": [120.19, 30.26],
"淄博": [118.05, 36.78],
"鞍山": [122.85, 41.12],
"溧阳": [119.48, 31.43],
"库尔勒": [86.06, 41.68],
"安阳": [114.35, 36.1],
"开封": [114.35, 34.79],
"济南": [117, 36.65],
"德阳": [104.37, 31.13],
"温州": [120.65, 28.01],
"九江": [115.97, 29.71],
"邯郸": [114.47, 36.6],
"临安": [119.72, 30.23],
"兰州": [103.73, 36.03],
"沧州": [116.83, 38.33],
"临沂": [118.35, 35.05],
"南充": [106.110698, 30.837793],
"天津": [117.2, 39.13],
"富阳": [119.95, 30.07],
"泰安": [117.13, 36.18],
"诸暨": [120.23, 29.71],
"郑州": [113.65, 34.76],
"哈尔滨": [126.63, 45.75],
"聊城": [115.97, 36.45],
"芜湖": [118.38, 31.33],
"唐山": [118.02, 39.63],
"平顶山": [113.29, 33.75],
"邢台": [114.48, 37.05],
"德州": [116.29, 37.45],
"济宁": [116.59, 35.38],
"荆州": [112.239741, 30.335165],
"宜昌": [111.3, 30.7],
"义乌": [120.06, 29.32],
"丽水": [119.92, 28.45],
"洛阳": [112.44, 34.7],
"秦皇岛": [119.57, 39.95],
"株洲": [113.16, 27.83],
"石家庄": [114.48, 38.03],
"莱芜": [117.67, 36.19],
"常德": [111.69, 29.05],
"保定": [115.48, 38.85],
"湘潭": [112.91, 27.87],
"金华": [119.64, 29.12],
"岳阳": [113.09, 29.37],
"长沙": [113, 28.21],
"衢州": [118.88, 28.97],
"廊坊": [116.7, 39.53],
"菏泽": [115.480656, 35.23375],
"合肥": [117.27, 31.86],
"武汉": [114.31, 30.52],
"大庆": [125.03, 46.58]
};

var convertData = function(data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
}
return res;
};

option = {
backgroundColor: '#404a59',
title: {
text: '全国主要城市空气质量',
subtext: 'data from PM25.in',
sublink: 'http://www.pm25.in',
x: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item',
formatter: function(params) {
return params.name + ' : ' + params.value[2];
}
},
legend: {
orient: 'vertical',
y: 'bottom',
x: 'right',
data: ['pm2.5'],
textStyle: {
color: '#fff'
}
},
dataRange: {
min: 0,
max: 200,
calculable: true,
color: ['#d94e5d', '#eac736', '#50a3ba'],
textStyle: {
color: '#fff'
}
},
geo: {
map: 'china',
label: {
emphasis: {
show: false
}
},
itemStyle: {
normal: {
areaColor: '#323c48',
borderColor: '#111'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
series: [{
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'geo',
data: convertData([{
name: "海门",
value: 9
}, {
name: "鄂尔多斯",
value: 12
}, {
name: "招远",
value: 12
}, {
name: "舟山",
value: 12
}, {
name: "齐齐哈尔",
value: 14
}, {
name: "盐城",
value: 15
}, {
name: "赤峰",
value: 16
}, {
name: "青岛",
value: 18
}, {
name: "乳山",
value: 18
}, {
name: "金昌",
value: 19
}, {
name: "泉州",
value: 21
}, {
name: "莱西",
value: 21
}, {
name: "日照",
value: 21
}, {
name: "胶南",
value: 22
}, {
name: "南通",
value: 23
}, {
name: "拉萨",
value: 24
}, {
name: "云浮",
value: 24
}, {
name: "梅州",
value: 25
}, {
name: "文登",
value: 25
}, {
name: "上海",
value: 25
}, {
name: "攀枝花",
value: 25
}, {
name: "威海",
value: 25
}, {
name: "承德",
value: 25
}, {
name: "厦门",
value: 26
}, {
name: "汕尾",
value: 26
}, {
name: "潮州",
value: 26
}, {
name: "丹东",
value: 27
}, {
name: "太仓",
value: 27
}, {
name: "曲靖",
value: 27
}, {
name: "烟台",
value: 28
}, {
name: "福州",
value: 29
}, {
name: "瓦房店",
value: 30
}, {
name: "即墨",
value: 30
}, {
name: "抚顺",
value: 31
}, {
name: "玉溪",
value: 31
}, {
name: "张家口",
value: 31
}, {
name: "阳泉",
value: 31
}, {
name: "莱州",
value: 32
}, {
name: "湖州",
value: 32
}, {
name: "汕头",
value: 32
}, {
name: "昆山",
value: 33
}, {
name: "宁波",
value: 33
}, {
name: "湛江",
value: 33
}, {
name: "揭阳",
value: 34
}, {
name: "荣成",
value: 34
}, {
name: "连云港",
value: 35
}, {
name: "葫芦岛",
value: 35
}, {
name: "常熟",
value: 36
}, {
name: "东莞",
value: 36
}, {
name: "河源",
value: 36
}, {
name: "淮安",
value: 36
}, {
name: "泰州",
value: 36
}, {
name: "南宁",
value: 37
}, {
name: "营口",
value: 37
}, {
name: "惠州",
value: 37
}, {
name: "江阴",
value: 37
}, {
name: "蓬莱",
value: 37
}, {
name: "韶关",
value: 38
}, {
name: "嘉峪关",
value: 38
}, {
name: "广州",
value: 38
}, {
name: "延安",
value: 38
}, {
name: "太原",
value: 39
}, {
name: "清远",
value: 39
}, {
name: "中山",
value: 39
}, {
name: "昆明",
value: 39
}, {
name: "寿光",
value: 40
}, {
name: "盘锦",
value: 40
}, {
name: "长治",
value: 41
}, {
name: "深圳",
value: 41
}, {
name: "珠海",
value: 42
}, {
name: "宿迁",
value: 43
}, {
name: "咸阳",
value: 43
}, {
name: "铜川",
value: 44
}, {
name: "平度",
value: 44
}, {
name: "佛山",
value: 44
}, {
name: "海口",
value: 44
}, {
name: "江门",
value: 45
}, {
name: "章丘",
value: 45
}, {
name: "肇庆",
value: 46
}, {
name: "大连",
value: 47
}, {
name: "临汾",
value: 47
}, {
name: "吴江",
value: 47
}, {
name: "石嘴山",
value: 49
}, {
name: "沈阳",
value: 50
}, {
name: "苏州",
value: 50
}, {
name: "茂名",
value: 50
}, {
name: "嘉兴",
value: 51
}, {
name: "长春",
value: 51
}, {
name: "胶州",
value: 52
}, {
name: "银川",
value: 52
}, {
name: "张家港",
value: 52
}, {
name: "三门峡",
value: 53
}, {
name: "锦州",
value: 54
}, {
name: "南昌",
value: 54
}, {
name: "柳州",
value: 54
}, {
name: "三亚",
value: 54
}, {
name: "自贡",
value: 56
}, {
name: "吉林",
value: 56
}, {
name: "阳江",
value: 57
}, {
name: "泸州",
value: 57
}, {
name: "西宁",
value: 57
}, {
name: "宜宾",
value: 58
}, {
name: "呼和浩特",
value: 58
}, {
name: "成都",
value: 58
}, {
name: "大同",
value: 58
}, {
name: "镇江",
value: 59
}, {
name: "桂林",
value: 59
}, {
name: "张家界",
value: 59
}, {
name: "宜兴",
value: 59
}, {
name: "北海",
value: 60
}, {
name: "西安",
value: 61
}, {
name: "金坛",
value: 62
}, {
name: "东营",
value: 62
}, {
name: "牡丹江",
value: 63
}, {
name: "遵义",
value: 63
}, {
name: "绍兴",
value: 63
}, {
name: "扬州",
value: 64
}, {
name: "常州",
value: 64
}, {
name: "潍坊",
value: 65
}, {
name: "重庆",
value: 66
}, {
name: "台州",
value: 67
}, {
name: "南京",
value: 67
}, {
name: "滨州",
value: 70
}, {
name: "贵阳",
value: 71
}, {
name: "无锡",
value: 71
}, {
name: "本溪",
value: 71
}, {
name: "克拉玛依",
value: 72
}, {
name: "渭南",
value: 72
}, {
name: "马鞍山",
value: 72
}, {
name: "宝鸡",
value: 72
}, {
name: "焦作",
value: 75
}, {
name: "句容",
value: 75
}, {
name: "北京",
value: 79
}, {
name: "徐州",
value: 79
}, {
name: "衡水",
value: 80
}, {
name: "包头",
value: 80
}, {
name: "绵阳",
value: 80
}, {
name: "乌鲁木齐",
value: 84
}, {
name: "枣庄",
value: 84
}, {
name: "杭州",
value: 84
}, {
name: "淄博",
value: 85
}, {
name: "鞍山",
value: 86
}, {
name: "溧阳",
value: 86
}, {
name: "库尔勒",
value: 86
}, {
name: "安阳",
value: 90
}, {
name: "开封",
value: 90
}, {
name: "济南",
value: 92
}, {
name: "德阳",
value: 93
}, {
name: "温州",
value: 95
}, {
name: "九江",
value: 96
}, {
name: "邯郸",
value: 98
}, {
name: "临安",
value: 99
}, {
name: "兰州",
value: 99
}, {
name: "沧州",
value: 100
}, {
name: "临沂",
value: 103
}, {
name: "南充",
value: 104
}, {
name: "天津",
value: 105
}, {
name: "富阳",
value: 106
}, {
name: "泰安",
value: 112
}, {
name: "诸暨",
value: 112
}, {
name: "郑州",
value: 113
}, {
name: "哈尔滨",
value: 114
}, {
name: "聊城",
value: 116
}, {
name: "芜湖",
value: 117
}, {
name: "唐山",
value: 119
}, {
name: "平顶山",
value: 119
}, {
name: "邢台",
value: 119
}, {
name: "德州",
value: 120
}, {
name: "济宁",
value: 120
}, {
name: "荆州",
value: 127
}, {
name: "宜昌",
value: 130
}, {
name: "义乌",
value: 132
}, {
name: "丽水",
value: 133
}, {
name: "洛阳",
value: 134
}, {
name: "秦皇岛",
value: 136
}, {
name: "株洲",
value: 143
}, {
name: "石家庄",
value: 147
}, {
name: "莱芜",
value: 148
}, {
name: "常德",
value: 152
}, {
name: "保定",
value: 153
}, {
name: "湘潭",
value: 154
}, {
name: "金华",
value: 157
}, {
name: "岳阳",
value: 169
}, {
name: "长沙",
value: 175
}, {
name: "衢州",
value: 177
}, {
name: "廊坊",
value: 193
}, {
name: "菏泽",
value: 194
}, {
name: "合肥",
value: 229
}, {
name: "武汉",
value: 273
}, {
name: "大庆",
value: 279
}]),
symbolSize: 12,
label: {
normal: {
show: false
},
emphasis: {
show: false
}
},
itemStyle: {
emphasis: {
borderColor: '#fff',
borderWidth: 1
}
}
}]
}

// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>

</html>

小项目

申请百度地图开发api
异步加载数据,获取经纬度
绘图,在地图上持续做标记
可导出图片
(可扩展手机号来源地查询,ip地址查询等)

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<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="UTF-8">
<title>Document</title>
<link rel="stylesheet" href="bootstrap.min.css">
<style>
body {
padding-top: 80px
}

#search-btn {
margin-top: 20px;
}
</style>
</head>

<body>

<div class="container">
<div class="row">
<div class="col-md-3 col-md-offset-3">
<form class="form-horizontal">
<input id="place-input" type="text" class="form-control" value="故宫" placeholder="请输入地址">
<button type="button" id="search-btn" class="btn btn-success">
查询
</button>
</form>

</div>
<div class="col-md-6">
<div id="main" style="height:500px;"></div>
</div>
</div>
</div>
<script src='jquery.min.js'></script>
<script src='echarts.min.js'></script>
<script src='beijing.js'></script>
<script>
// 百度地图的开发者秘钥
var token = 'fHrNQj6DHTjZtfTvfqbsuvTzKc5V9SBl'
var url = 'http://api.map.baidu.com/geocoder/v2/?output=json&ak=' + token + '&address='
var ePlaceInput = $('#place-input')
var eSearchBtn = $('#search-btn')
var myChart = echarts.init(document.getElementById('main'))
var chartData = []
eSearchBtn.click(function() {
var place = ePlaceInput.val()
if (place) {
$.getJSON(url + place + '&callback=?', function(res) {
var loc
if (res.status === 0) {
loc = res.result.location
chartData.push({
name: name,
value: [loc.lng, loc.lat]
})
drawMap(place)
} else {
alert('百度没有找到地址信息')
}
})
}
})

function drawMap(name) {

var option = {
backgroundColor: '#404a59',
title: {
text: '2020要去的地方',
left: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item'
},
toolbox: {
show: true,
feature: {
saveAsImage: {
show: true
}
}
},
geo: {
map: '北京',
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
areaColor: '#323c48',
borderColor: '#111'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
series: [{
name: '地址',
type: 'scatter',
coordinateSystem: 'geo',
data: chartData,
symbolSize: function(val) {
return 10;
},
}]
}
myChart.setOption(option)
}
</script>
</body>

</html>

参考

https://github.com/shengxinjing/imooc-echarts