ECharts的二次封装
ECharts的二次封装
封装的意义：ECharts的二次封装有利于项目后期的维护和使用
目录：
- 封装初始化代码
- 调用方式
- 折线图 1
- 折线图 2
- 散点图 1
- 散点图 2
- 散点图 3
- 条形图 1
- 条形图 2
- 条形图和折线图
- 极坐标图和折线图
- 极坐标条形图
- 双轴图
- 北京地图
- 全国地图
- 全国地图发光效果
- 全国地图突出北京
- 热力图
- 环形图
- 象形柱图
- 路线图
- 雷达图
一、封装初始化代码
- 创建一个 echarts.js 文件（写入初始化代码）
import echarts from 'echarts';
const echartsInstall = function (Vue) {
// Vue.prototype 把实例挂在到 Vue 的原型上 方便全局使用
Object.defineProperties(Vue.prototype, {
$myecharts: {
get() {
return {
// 折线图 案例
line(id) {
const dom = document.getElementById(id);
const myCharts = echarts.init(dom);
// 折线图相关配置写在这里
const option = {
// 例子
xAxis: {
type: 'category',
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
},
yAxis: {
type: 'value',
},
series: [{
data: [150, 230, 224, 218, 135, 147, 260],
type: 'line',
}],
};
myCharts.setOption(option);
},
// 地图案例
chinaMap(id) {
const dom = document.getElementById(id);
const myCharts = echarts.init(dom);
// 地图相关配置写在这里
const option = {
};
myCharts.setOption(option);
},
};
},
},
});
};
export default echartsInstall;
- 调用方式
（1）在main.js根目录中引入二次封装的插件
（2）使用自己二次封装的插件
（3）！！！记得给你创建的标签一个宽度和高度不然会显示不出来
- 折线图 1
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>特效折线图</title>
<style>
#container {
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var data = [{
value: 0,
count: 35,
year: '2013年',
}, {
value: 6,
count: 29,
year: '2014年',
}, {
value: 6,
count: 29,
year: '2015年',
}, {
value: 10,
count: 25,
year: '2016年',
}, {
value: 13,
count: 22,
year: '2017年',
}, {
value: 18,
count: 17,
year: '2018年',
}, {
value: 28,
count: '',
year: '',
symbol: 'image://../img/ding1.png',
}]
// 把对应 echarts 图行的 option 复制到我们封装的 插件中就可以
var option = {
backgroundColor: '#404a59', //整体背景
//直角坐标系
grid: {
left: '2%', //坐标系到左边的距离
right: '2%',
top: '5%',
bottom: '10%',
},
xAxis: {
data: [],
axisLine: {
show: false
},
axisTick: {
show: false
},
splitArea: {
show: false
},
splitLine: {
show: false
},
},
yAxis: {
splitLine: {
show: false
},
axisLine: {
show: false
},
axisTick: {
show: false
},
splitArea: {
show: false
},
data: []
},
series: [
{
name: '特效折线图',
type: 'line',
showAllSymbol: true, //显示所有图形
symbol: 'image://../img/ding.png',
symbolSize: 30,
label: { //图形上的文本标签
show: true,
position: 'top',
formatter: function (e) {
return e.data.count
},
offset: [0, -15], //偏移量
textStyle: {
color: '#fff',
fontSize: 16,
}
},
lineStyle: { //线条样式。
width: 10,
color: '#268b87'
},
data: data,
zlevel: 10,
animationDuration: 2000
},
{
name: '',
type: 'line',
showAllSymbol: true, //显示所有图形
symbolSize:0.1,
label: { //图形上的文本标签
show: true,
position: 'bottom',
formatter: function (e) {
return e.data.year
},
offset: [0, 30], //偏移量
textStyle: {
color: '#fff',
fontSize: 16,
}
},
lineStyle: { //线条样式。
opacity:0
},
data: data,
zlevel: 1,
animationDuration: 2000
},
],
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
- 折线图 2
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>特效折线图</title>
<style>
#container {
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var data = [{
value: 0,
count: 35,
year: '2013年',
}, {
value: 6,
count: 29,
year: '2014年',
}, {
value: 6,
count: 29,
year: '2015年',
}, {
value: 10,
count: 25,
year: '2016年',
}, {
value: 13,
count: 22,
year: '2017年',
}, {
value: 18,
count: 17,
year: '2018年',
}, {
value: 28,
count: '',
year: '',
symbol: 'image://../img/ding1.png',
}]
var option = {
backgroundColor: '#404a59', //整体背景
//直角坐标系
grid: {
left: '2%', //坐标系到左边的距离
right: '2%',
top: '5%',
bottom: '10%',
},
xAxis: {
data: [],
axisLine: {
show: false
},
axisTick: {
show: false
},
splitArea: {
show: false
},
splitLine: {
show: false
},
},
yAxis: {
splitLine: {
show: false
},
axisLine: {
show: false
},
axisTick: {
show: false
},
splitArea: {
show: false
},
data: []
},
series: [
{
name: '特效折线图',
type: 'line',
showAllSymbol: true, //显示所有图形
symbol: 'image://../img/ding.png',
symbolSize: 30,
label: { //图形上的文本标签
show: true,
position: 'top',
formatter: function (e) {
return e.data.count
},
offset: [0, -15], //偏移量
textStyle: {
color: '#fff',
fontSize: 16,
}
},
lineStyle: { //线条样式。
width: 10,
color: '#268b87'
},
data: data,
zlevel: 10,
animationDuration: 2000
},
{
name: '',
type: 'line',
showAllSymbol: true, //显示所有图形
symbolSize:0.1,
label: { //图形上的文本标签
show: true,
position: 'bottom',
formatter: function (e) {
return e.data.year
},
offset: [0, 30], //偏移量
textStyle: {
color: '#fff',
fontSize: 16,
}
},
lineStyle: { //线条样式。
opacity:0
},
data: data,
zlevel: 1,
animationDuration: 2000
},
],
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
- 散点图 1
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>散点图1</title>
<style>
#container {
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var app = {};
var data = [
{
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
}
];
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)
});
} else {
console.log(data[i].name)
}
}
return res;
};
var option = {
backgroundColor: '#404a59', //整体背景
title: { //标题
text: '创客天下',
subtext: '创客天下发展城市',
left: 'center',
textStyle: {
color: '#fff'
}
},
legend: { //导航
orient: 'vertical',
y: 'bottom',
x: 'right',
data: ['创客城市', 'Top 5'], //必须与series一一对应
textStyle: {
color: '#fff'
}
},
geo: {
map: 'china', //中国地图
label: { //控制省份名
normal: { //正常模式
show: false,
},
emphasis: { //hover模式
show: false,
}
},
roam: false, //是否开启平移和缩放
zoom: 1.2,
itemStyle: { //控制省份区域（省份块）
normal: {
areaColor: '#323c48',
borderColor: '#111',
},
emphasis: {
areaColor: '#2a333d'
}
}
},
tooltip: { //提示框组件。 hover导航框
trigger: 'item',
// formatter: (data)=>{ //导航框内容 可以写标签哦！！！
// console.log(data)
// return '123'
// }
},
series: [{
name: '创客城市',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data),
symbolSize: function (val) {
return val[2] / 15;
},
label: { //每个点的信息
normal: {
formatter: '{b}',
position: 'right',
show: false,
textStyle: {
color: '#9ba0aa',
fontFamily: '微软雅黑'
}
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926' //圆点颜色
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 6)),
symbolSize: function (val) {
return val[2] / 10;
},
effectType: 'ripple', //特效类型，目前只支持涟漪特效'ripple'。
showEffectOn: 'render', //配置何时显示特效。'render' 绘制完成后显示特效。
rippleEffect: { //涟漪特效相关配置。
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
markLine: {
label: {
normal: {
show: true
}
},
lineStyle: {
normal: {
color: '#fdc57f',
width: 2,
type: 'solid'
}
},
data: [
[{
name: '北京到上海',
coord: geoCoordMap['北京']
},
{
coord: geoCoordMap['上海']
}
],
[{
name: '武汉到原点',
coord: geoCoordMap['武汉']
},
{
x: 0,
y: 0
}
],
]
},
zlevel: 1
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
- 散点图 2
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>散点图2</title>
<style>
#container{
width: 950px;
height: 680px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var data = [
{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}
];
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)
});
}else{
console.log(data[i].name)
}
}
return res;
};
var option = {
backgroundColor: '#404a59', //整体背景
title: { //标题
text: '成果/需求对接分布图',
left: 'center',
top:40,
textStyle: {
color: '#fff'
}
},
geo: {
map: 'china', //中国地图
label: { //控制省份名
normal: { //正常模式
show:false,
},
emphasis: { //hover模式
show: false,
}
},
roam: true, //是否开启平移和缩放
zoom:1.2,
itemStyle: { //控制省份区域（省份块）
normal: {
areaColor: '#323c48',
borderColor: '#111',
},
emphasis: {
areaColor: '#2a333d'
}
}
},
toolbox: { //工具栏
show: true,
feature: {
restore: {}, //重置
}
},
tooltip: { //提示框组件。 hover导航框
trigger: 'item',
formatter: (data)=>{ //导航框内容 可以写标签哦！！！
console.log(data)
return '成果名称：这是第一段废话这是第一段废话这是第一段废话
所属单位：这是第一段废话这是第一段废话这是第一段废话
发布时间：这是第一段废话这是第一段废话这是第一段废话
成果状态：这是第一段废话这是第一段废话这是第一段废话
隶属领域：这是第一段废话这是第一段废话这是第一段废话
该领域所在省在全国的占比：这是第一段废话这是第一段废话这是第一段废话
'
}
},
series: [
{
name: '已对接成果',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data).slice(0,50),
symbolSize: function (val) {
return val[2] / 15;
},
label: { //每个点的信息
normal: {
formatter: '{b}',
position: 'right',
show: false,
textStyle: { color: '#9ba0aa', fontFamily: '微软雅黑' }
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: 'red' //圆点颜色
}
}
},
{
name: '未对接成果',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data).slice(50,100),
symbolSize: function (val) {
return val[2] / 15;
},
label: { //每个点的信息
normal: {
formatter: '{b}',
position: 'right',
show: false,
textStyle: { color: '#9ba0aa', fontFamily: '微软雅黑' }
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: 'green' //圆点颜色
}
}
},
{
name: '已对接需求',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data).slice(100,150),
symbolSize: function (val) {
return val[2] / 15;
},
label: { //每个点的信息
normal: {
formatter: '{b}',
position: 'right',
show: false,
textStyle: { color: '#9ba0aa', fontFamily: '微软雅黑' }
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: 'blue' //圆点颜色
}
}
},
{
name: '未对接需求',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
data: convertData(data).slice(150,190),
symbolSize: function (val) {
return val[2] / 15;
},
label: { //每个点的信息
normal: {
formatter: '{b}',
position: 'right',
show: false,
textStyle: { color: '#9ba0aa', fontFamily: '微软雅黑' }
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: 'yellow' //圆点颜色
}
}
},
{
name: '连线',
type: 'lines', //用于带有起点和终点信息的线数据的绘制，主要用于地图上的航线，路线的可视化。
zlevel: 2,
effect: { //线的运行特效
show: true,
period: 4, //运行时间
symbol: 'triangle', //头的形状
symbolSize: 3, //头的大小
trailLength: 0.3, //特效尾迹的长度。取从 0 到 1 的值，数值越大尾迹越长。
color: 'rgba(244,233,37,0.8)',
},
symbol: ['none', 'triangle'], //线两端的标记类型
lineStyle: {
normal: {
color: 'rgba(30,144,255,0.5)',
width: 3,
curveness: 0.2
}
},
data:[{
coords:[[116.46, 39.92],[121.48, 31.22]],
fromName: "北京",
toName:"上海"
}]
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
};
</script>
</html>
- 散点图 3
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>散点图3</title>
<style>
#container{
width: 950px;
height: 680px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
//https://www.echartsjs.com/gallery/editor.html?c=doc-example/scatter-visualMap-categories&edit=1&reset=1
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var data = [{
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
}
];
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)
});
} else {
console.log(data[i].name)
}
}
return res;
};
var companyColor = ['#f5fe02', '#019cfe', '#b9f0a7'];
var option = {
backgroundColor: '#404a59', //整体背景
color: companyColor,
geo: {
map: 'china', //中国地图
label: { //控制省份名
normal: { //正常模式
show: false,
},
emphasis: { //hover模式
show: false,
}
},
roam: true, //是否开启平移和缩放
zoom: 1.2,
itemStyle: { //控制省份区域（省份块）
normal: {
areaColor: '#323c48',
borderColor: '#111',
},
emphasis: {
areaColor: '#2a333d'
}
}
},
tooltip: { //提示框组件。 hover导航框
trigger: 'item',
formatter: function (res) { //导航框内容 可以写标签哦！！！
// console.log(res)
// return '公司名称：' + res.data.Name + '
公司地点：' + res.data.Park + '
隶属领域：' + res.data.TechField + '
'
}
},
legend: {
bottom: 0,
left: 10,
padding: [
0, // 上
0, // 右
7, // 下
0, // 左
],
itemGap: 18,
itemWidth: 14,
itemHeight: 14,
textStyle: {
fontFamily: 'Microsoft YaHei',
fontSize: 14,
color: '#fff'
},
data: [{
name: '创新型企业',
icon: 'circle'
}, {
name: '军工资质企业',
icon: 'circle'
}, {
name: '参军潜力企业',
icon: 'circle'
}]
},
visualMap: {
type: 'piecewise', //类型为分段型。
orient: 'horizontal',
bottom: 0,
right: 0,
showLabel: true,
text: ['军民融合潜力指数图例'],
textStyle: {
color: '#fff'
},
// min: 0,
// max: 100,
splitNumber: 5, //分几段
inRange: { //定义 在选中范围中 的视觉元素。
symbol: 'circle',
symbolSize: [5, 25] // 5 10 15 20 25
}
},
series: [{
name: '创新型企业',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
label: { //每个点的信息
normal: {
show: false,
}
},
itemStyle: {
normal: {
// color: companyColor[0],
shadowBlur: 2,
shadowColor: companyColor[0]
}
},
data: convertData(data).slice(0, 50),
zlevel: 1
},
{
name: '军工资质企业',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
label: { //每个点的信息
normal: {
show: false,
}
},
itemStyle: {
normal: {
// color: companyColor[1],
shadowBlur: 2,
shadowColor: companyColor[1]
}
},
data: convertData(data).slice(50, 100),
zlevel: 1
},
{
name: '参军潜力企业',
type: 'scatter',
coordinateSystem: 'geo',
progressive: 0, //不启用渐进式渲染 因为数据量在3000-10000有问题
label: { //每个点的信息
normal: {
show: false,
}
},
itemStyle: {
normal: {
// color: companyColor[2],
shadowBlur: 2,
shadowColor: companyColor[2]
}
},
data: convertData(data).slice(100, 150),
zlevel: 1
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
};
</script>
</html>
- 条形图 1
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>条形图1</title>
<style>
#right{
width: 473px;
height: 306px;
}
</style>
</head>
<body>
<div id="right"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById("right"));
var app = {};
app.title = '';
var option = {
backgroundColor: '#404a59', //整体背景
title: {
text: '成果/需求领域分布图',
left: 'center',
top: 10,
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'axis', //提示框组件
axisPointer: {
type: 'shadow'
}
},
legend: {
data: ['成果', '需求'], //必须与series一一对应
orient: 'vertical',
top: 'bottom',
left: '10',
textStyle: {
color: '#fff'
}
},
//直角坐标系
grid: {
show:false,
left: 100, //坐标系到左边的距离
right: 45, //坐标系到右边的距离
bottom:0, //坐标系到下边的距离
containLabel: true //是否包含坐标轴的刻度标签。
},
xAxis: {
type: 'category', //类目轴
data: ['互联网', '人工智能','电子信息', '其他','自动化'],
splitLine: { //坐标轴在 grid 区域中的分隔线设置。
show: true,
lineStyle:{
color:'#fff'
}
},
axisLine:{ //坐标轴轴线相关设置。
lineStyle:{
color:'#9fdabf' //坐标轴颜色
}
},
axisTick: { show: false }, //坐标轴刻度相关设置。
axisLabel: { //坐标轴标签的相关设置。轴下面的字
show: true,
color: 'cyan'
}
},
yAxis: {
type: 'value', //数值轴
splitLine: { //坐标轴在 grid 区域中的分隔线设置。
show: true,
lineStyle:{
color:'#fff'
}
},
axisLine:{ //坐标轴轴线相关设置。
lineStyle:{
color:'#9fdabf' //坐标轴颜色
}
},
axisTick: { show: false }, //坐标轴刻度相关设置。
axisLabel: { //坐标轴标签的相关设置。轴下面的字
show: true,
rotate:50, //刻度标签旋转的角度，在类目轴的类目标签显示不下的时候可以通过旋转防止标签之间重叠 旋转的角度从 -90 度到 90 度。
color: 'cyan'
}
},
series: [
{
name: '成果',
type: 'bar',
data: [18203, 23489, 29034, 104970,23489],
silent: true,
barWidth:20, //柱条宽度
barGap:'1%', //柱条间距
itemStyle: {
normal: { color: '#ffc917' }
}
},
{
name: '需求',
type: 'bar',
data: [19325, 23438, 31000, 121594,23489],
z: 10,
barWidth:20,
itemStyle: {
normal: { color: '#00ffec' }
}
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
- 条形图 2
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>条形图2</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById("container"));
var app = {};
app.title = '';
var option = {
title: {
text: '成果需求转化',
subtext: '数据来自创客天下'
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'shadow'
}
},
legend: {
data: ['成果', '需求'] //必须与series一一对应
},
//直角坐标系
grid: {
left: '3%', //坐标系到左边的距离
right: '4%', //坐标系到右边的距离
bottom: '3%', //坐标系到下边的距离
containLabel: true //是否包含坐标轴的刻度标签。
},
xAxis: {
type: 'value',
axisTick: {show: false},
boundaryGap: ['0%', '10%'], //坐标轴两边留白策略，类目轴和非类目轴的设置和表现不一样。
},
yAxis: {
type: 'category',
data: ['巴西', '印尼', '美国', '印度', '中国', '世界人口(万)'],
splitLine: {show: false}
},
animationDurationUpdate: 1200,
series: [
{
name: '成果',
type: 'bar',
data: [18203, 23489, 29034, 104970, 131744, 630230],
silent: true,
barWidth: 40,
barGap: '-100%' // Make series be overlap
},
{
name: '需求',
type: 'bar',
data: [19325, 23438, 31000, 121594, 134141, 681807],
barWidth: 40,
z: 10
}
]
};
var barGaps = ['30%', '-100%'];
var loopIndex = 0;
setInterval(function () {
var barGap = barGaps[loopIndex];
myChart.setOption({
xAxis: {
axisLabel: {
formatter: 'barGap: \'' + barGap + '\''
}
},
series: [{
barGap: barGap
}]
});
loopIndex = (loopIndex + 1) % barGaps.length;
}, 2000);
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>```
- 条形图和折线图
```javascript
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>条形图和折线图</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body >
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option = {
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
crossStyle: {
color: '#999'
}
}
},
legend: {
data:['市场规模','增长率']
},
xAxis: [
{
type: 'category',
data: ['2015','2016','2017','2018','2019','2020'],
axisPointer: {
type: 'shadow'
}
}
],
yAxis: [
{
type: 'value',
name: '市场规模',
min: 0,
max: 1200,
interval: 200,
axisLabel: {
formatter: '{value} 亿元'
}
},
{
type: 'value',
name: '增长率',
min: 0,
max: 90,
interval: 15,
axisLabel: {
formatter: '{value} %'
}
}
],
series: [
{
name:'市场规模',
type:'bar',
barWidth:20, //柱条宽度
barGap:'1%', //柱条间距
label: {
normal: {
position: 'top',
color:'#033efc',
show: true
}
},
itemStyle: {
normal: { color: '#0396fd' }
},
data:[112, 143, 240, 420, 698 , 978]
},
{
name:'增长率',
type:'line',
yAxisIndex: 1,
data:[{},28,68,75,66,40]
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
- 极坐标图和折线图
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>条形图和折线图</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body >
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option = {
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
crossStyle: {
color: '#999'
}
}
},
legend: {
data:['市场规模','增长率']
},
xAxis: [
{
type: 'category',
data: ['2015','2016','2017','2018','2019','2020'],
axisPointer: {
type: 'shadow'
}
}
],
yAxis: [
{
type: 'value',
name: '市场规模',
min: 0,
max: 1200,
interval: 200,
axisLabel: {
formatter: '{value} 亿元'
}
},
{
type: 'value',
name: '增长率',
min: 0,
max: 90,
interval: 15,
axisLabel: {
formatter: '{value} %'
}
}
],
series: [
{
name:'市场规模',
type:'bar',
barWidth:20, //柱条宽度
barGap:'1%', //柱条间距
label: {
normal: {
position: 'top',
color:'#033efc',
show: true
}
},
itemStyle: {
normal: { color: '#0396fd' }
},
data:[112, 143, 240, 420, 698 , 978]
},
{
name:'增长率',
type:'line',
yAxisIndex: 1,
data:[{},28,68,75,66,40]
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>```
- 极坐标条形图
```javascript
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>极坐标条形图</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body >
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var arr1=["能源与节能","材料", "先进制造与自动化", "电子信息", "其他"];
var arr2=[2234,4448, 5142,8442, 3132];
var option = {
backgroundColor: '#404a59', //整体背景
title: {
text: '领域转化量分布图',
top: '10',
left: 'center',
textStyle: {
color: '#fff',
fontWeight: 100,
fontSize: 20
}
},
color: ['#c23531', '#ffc917', '#61a0a8', '#00ffec', '#91c7ae'],
legend: {
data: [{ //必须与series一一对应
name: '领域转化量'
}],
orient: 'vertical',
top: 'bottom',
left: 0,
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'shadow'
}
},
polar: { //极坐标系 必须有
center:['50%','60%'], //极坐标的圆心
radius:'60%' //极坐标的半径
},
angleAxis: {
type: 'category', //极坐标系角度轴 必须有
startAngle: 90,
data:arr1,
axisLine: { //坐标轴轴线相关设置。
lineStyle: {
color: '#cccccc' //坐标轴颜色
}
},
axisTick: { show: true }, //坐标轴刻度相关设置。
axisLabel: {
show: true,
color: '#fff'
}
},
radiusAxis: { //极坐标系径向轴 必须有
axisLine: { //坐标轴轴线相关设置。
lineStyle: {
color: '#cccccc' //坐标轴颜色
}
},
axisTick: { show: true }, //坐标轴刻度相关设置。
axisLabel: {
show: true,
color: '#fff',
fontSize:10
}
},
series: [{
name: '领域转化量',
type: 'bar',
data:arr2,
center:['50%','60%'], //series图的圆心 应该与polar极坐标系的圆心一致 比较特殊 文档没有
coordinateSystem: 'polar' //采取极坐标方法 必须有
}]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>
-
双轴图
-
北京地图
-
全国地图
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>全国地图</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option = {
tooltip: {},
/*方法一*/
// geo: {
// map: 'china',
// roam: true,
// zoom: 1.2,
// aspectScale: 0.75,
// label: {
// normal: {
// show: true,
// textStyle: {
// color: 'rgba(0,0,0,0.4)'
// }
// }
// },
// itemStyle: {
// normal: {
// areaColor: 'rgba(0,255,236,0.1)',
// borderColor: 'rgba(118,237,236,1)',
// },
// emphasis: {
// areaColor: 'rgba(118,237,236,0.8)',
// shadowOffsetX: 0,
// shadowOffsetY: 0,
// shadowBlur: 20,
// borderWidth: 0,
// shadowColor: 'rgba(0, 0, 0, 0.5)'
// }
// }
// },
/*方法二 */
series: [{
name: '省',
type: 'map',
map: 'china',
roam: true,
zoom: 1.2,
aspectScale: 0.75,
label: {
normal: {
show: true,
textStyle: {
color: 'rgba(0,0,0,0.4)'
}
}
},
itemStyle: {
normal: {
areaColor: 'rgba(0,255,236,0.1)',
borderColor: 'rgba(118,237,236,1)',
},
emphasis: {
areaColor: 'rgba(118,237,236,0.8)',
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowBlur: 20,
borderWidth: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
}]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
};
</script>
</html>
- 全国地图发光效果
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>全国地图发光效果</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body>
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
// 全国地图发光的实现方法
// 在geo组件上设置发光的地图
// series.map设置不发光的地图
// 用series.map覆盖geo组件
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
function randomValue() {
return Math.round(Math.random() * 100);
}
var option = {
backgroundColor: '#000', //整体背景
geo: {
map: 'china',
label: { //控制省份名
normal: { //正常模式
show: false
},
emphasis: { //hover模式
show: false
}
},
zoom: 1.2,
aspectScale: 0.75,
itemStyle: {
normal: {
areaColor: 'rgba(2,100,195,0.5)',
borderColor: '#02d1fd',
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowBlur: 120,
shadowColor: 'rgb(2,209,253,0.7)'
}
}
},
series: [{
name:'省份',
showLegendSymbol: false, // 存在legend时不显示
type: 'map',
map: 'china',
label: { //控制省份名
normal: { //正常模式
show: false
},
emphasis: { //hover模式
show: false
}
},
zoom: 1.2,
aspectScale: 0.75,
itemStyle: {
normal: {
areaColor: 'rgba(2,100,195,0.5)',
borderColor: '#02d1fd',
},
emphasis: {
areaColor: 'rgba(118,237,236,0.8)',
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowBlur: 20,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
},
zlevel: 1,
data: [
{"name": "北京", "value": 395, "percent": "39.3%"},
{"name": "天津", "value": 17, "percent": "1.7%"},
{"name": "上海", "value": 210, "percent": "20.9%"},
{"name": "重庆", "value": 5, "percent": "0.5%"},
{"name": "河北", "value": 0, "percent": "0%"},
{"name": "河南", "value": 3, "percent": "0.3%"},
{"name": "云南", "value": 0, "percent": "0%"},
{"name": "辽宁", "value": 5, "percent": "0.5%"},
{"name": "黑龙江", "value": 3, "percent": "0.3%"},
{"name": "湖南", "value": 0, "percent": "0%"},
{"name": "安徽", "value": 12, "percent": "1.2%"},
{"name": "山东", "value": 10, "percent": "1%"},
{"name": "新疆", "value": 0, "percent": "0%"},
{"name": "江苏", "value": 42, "percent": "4.2%"},
{"name": "浙江", "value": 66, "percent": "6.6%"},
{"name": "江西", "value": 3, "percent": "0.3%"},
{"name": "湖北", "value": 15, "percent": "1.5%"},
{"name": "广西", "value": 0, "percent": "0%"},
{"name": "甘肃", "value": 0, "percent": "0%"},
{"name": "山西", "value": 0, "percent": "0%"},
{"name": "内蒙古", "value": 0, "percent": "0%"},
{"name": "陕西", "value": 17, "percent": "1.7%"},
{"name": "吉林", "value": 0, "percent": "0%"},
{"name": "福建", "value": 16, "percent": "1.6%"},
{"name": "贵州", "value": 0, "percent": "0%"},
{"name": "广东", "value": 165, "percent": "16.4%"},
{"name": "青海", "value": 0, "percent": "0%"},
{"name": "西藏", "value": 0, "percent": "0%"},
{"name": "四川", "value": 20, "percent": "2%"},
{"name": "宁夏", "value": 0, "percent": "0%"},
{"name": "海南", "value": 0, "percent": "0%"},
{"name": "台湾", "value": 0, "percent": "0%"},
{"name": "香港", "value": 0, "percent": "0%"},
{"name": "澳门", "value": 0, "percent": "0%"}
]
}]
}
if (option && typeof option === "object") {
myChart.setOption(option, true);
};
</script>
</html>
- 全国地图突出北京
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>全国地图突出北京</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body >
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script src="../script/map/china.js"></script>
<script type="text/javascript">
function randomValue() {
return Math.round(Math.random()*1000);
}
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option = {
backgroundColor: '#404a59', //整体背景
title: { //标题
text: '成果/需求对接分布图',
left: 'center',
top:40,
textStyle: {
color: '#fff'
}
},
legend: { //导航
orient: 'vertical',
y: 'bottom',
x: 'right',
data: ['已对接成果','未对接成果','已对接需求','未对接需求'], //必须与series一一对应
textStyle: {
color: '#fff'
}
},
tooltip: { //提示框组件。 hover导航框
trigger: 'item',
},
/*方法一*/
geo: { //公共的地图geo组件
map: 'china', //中国地图
label: { //控制省份名
normal: { //正常模式
show:false,
},
emphasis: { //hover模式
show: false,
}
},
roam: false, //是否开启平移和缩放
// zoom:1.2,
itemStyle: { //控制省份区域（省份块）
normal: {
areaColor: '#323c48',
borderColor: '#111',
},
emphasis: {
areaColor: '#2a333d'
}
},
regions: [{ //突出北京
name: '北京',
itemStyle: {
normal: {
areaColor: 'red',
color: 'red'
}
}
}]
},
/*方法二 */
// series: [
// {
// name: '中国',
// type: 'map',
// map: 'china',
// label: {
// normal: {
// show: true
// },
// emphasis: {
// show: true
// }
// },
// data:[
// {name:'北京', selected:true},
// ]
// }
// ]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>```
- 热力图
- 环形图
```javascript
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>环形图</title>
<style>
#left{
width: 473px;
height: 306px;
}
</style>
</head>
<body >
<div id="left"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
var dom = document.getElementById("left");
var myChart = echarts.init(dom);
var option = {
backgroundColor: '#404a59', //整体背景
title: { //标题
text: '成果/需求地域分布图',
left: 'center',
top:10,
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item',
formatter: "{a}
{b}: {c} ({d}%)"
},
legend: {
orient: 'vertical',
x: 'right',
y:'bottom',
textStyle: {
color: '#fff'
},
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: ['50%', '70%'], //小圆半径 大圆半径
avoidLabelOverlap: false,
center:['center',170], //设置圆心位置
// label: { //一种方式
// normal: {
// show: false,
// position: 'center'
// },
// emphasis: {
// show: true,
// textStyle: {
// fontSize: '30',
// fontWeight: 'bold'
// }
// }
// },
label: { //二种方式
normal: {
show: true,
formatter:'{d}%',
position: 'center' //标签的位置 outside
}
},
labelLine: {
normal: {
smooth: 0.2,
length: 10,
length2: 10
}
},
data:[
{value:335, name:'直接访问'},
{value:310, name:'邮件营销', itemStyle:{
normal: {
color: 'blue' //圆点颜色
}
}},
{value:234, name:'联盟广告'},
{value:135, name:'视频广告'},
{value:1548, name:'搜索引擎'}
],
animationType: 'scale',
animationEasing: 'elasticOut'
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
}
</script>
</html>```
- 象形柱图
- 路线图
- 雷达图
```javascript
<!DOCTYPE html>
<html style="height: 100%">
<head>
<meta charset="utf-8">
<title>雷达图</title>
<style>
#container{
width: 1000px;
height: 800px;
}
</style>
</head>
<body >
<div id="container"></div>
</body>
<script src="../script/echarts.js"></script>
<script type="text/javascript">
// http://www.echartsjs.com/gallery/editor.html?c=radar-aqi
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option = {
backgroundColor: '#161627',
title: {
text: '雷达图'
},
tooltip: {
trigger: 'item'
},
radar:{ //雷达图使用 radar 组件作为其坐标系
indicator: [ //雷达图的指示器
{name: '外观', max: 100},
{name: '拍照', max: 100},
{name: '系统', max: 100},
{name: '性能', max: 100},
{name: '屏幕', max: 100}
],
name: { //雷达图每个指示器名称的配置项。
color: 'rgb(238, 197, 102)'
},
nameGap:5, //指示器名称和指示器轴的距离。
splitLine: { //坐标轴在 grid 区域中的分隔线样式。
lineStyle: {
color: [
'rgba(238, 197, 102, 0.2)', 'rgba(238, 197, 102, 0.3)',
'rgba(238, 197, 102, 0.4)', 'rgba(238, 197, 102, 0.6)',
'rgba(238, 197, 102, 0.8)', 'rgba(238, 197, 102, 1)'
].reverse()
}
},
splitArea: { //不显示区域
show: false
},
axisLine : { //刻度线样式
lineStyle: {
color : 'rgb(238, 197, 102)'
}
},
shape:'circle', //雷达图绘制类型 支持 'polygon' 和 'circle'
center: ['50%','50%'],
radius: '80%',
startAngle: 90
},
series: [
{
name:'雷达',
type: 'radar',
symbol:'circle', //标记的图形。
itemStyle: { //折线拐点标记的样式。
normal: {
color: '#B3E4A1'
}
},
lineStyle:{ //线条样式。
normal: {
type:'dotted',
width: 1,
opacity: 0.8
}
},
areaStyle: { //区域填充样式。
normal: {
opacity: 0.8
}
},
label:{ //图形上的文本标签，可用于说明图形的一些数据信息
normal: {
show:false
}
},
data: [
{
value: [85, 90, 90, 95, 95],
name: '某手机'
}
]
}
]
};
if (option && typeof option === "object") {
myChart.setOption(option, true);
};
</script>
</html>```
---