Echarts是一個使用JavaScript實作的開源可視化庫，可以流暢的運作在 PC 和移動裝置上，相容目前絕大部分浏覽器（IE8/9/10/11，Chrome，Firefox，Safari等）。
Echarts中提供豐富的圖形模式，例如一些經常可以在項目中見到的：折線圖、柱狀圖、餅圖、還有地圖等。還有一些比較複雜的，用于關系資料的關系圖，用于BI的漏鬥圖、儀表盤等。
Echarts還提供了豐富的執行個體圖形，可以供開發者很簡單、友善的上手操作。還有大量的文檔、幫助手冊，幫助一些剛入門的開發者順利使用。Echarts真是一款既友善、又簡單的插件，給資料可視化的小夥伴提供了很大的幫助。
接下來看一下，我們如何使用echarts建立地圖，最終的地圖效果如下所示：
// 基于準備好的dom，初始化echarts執行個體
var myChart = echarts.init(document.getElementById('map_1'));
var data = [
{name: '海門', value: 69},
{name: '鄂爾多斯', value: 12},
{name: '招遠', value: 12},
{name: '舟山', value: 12},
{name: '齊齊哈爾', value: 14},
{name: '鹽城', value: 15},
{name: '赤峰', value: 16},
{name: '青島', value: 18},
{name: '乳山', value: 18},
{name: '金昌', value: 19},
{name: '泉州', value: 21},
{name: '萊西', value: 21},
{name: '日照', value: 21},
{name: '膠南', value: 22},
{name: '南通', value: 23},
{name: '拉薩', value: 24},
{name: '雲浮', 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: '廈門', value: 26},
{name: '汕尾', value: 26},
{name: '潮州', value: 26},
{name: '丹東', value: 27},
{name: '太倉', value: 27},
{name: '曲靖', value: 27},
{name: '煙台', value: 28},
{name: '福州', value: 29},
{name: '瓦房店', value: 30},
{name: '即墨', value: 30},
{name: '撫順', value: 31},
{name: '玉溪', value: 31},
{name: '張家口', value: 31},
{name: '陽泉', value: 31},
{name: '萊州', value: 32},
{name: '湖州', value: 32},
{name: '汕頭', value: 32},
{name: '昆山', value: 33},
{name: '甯波', value: 33},
{name: '湛江', value: 33},
{name: '揭陽', value: 34},
{name: '榮成', value: 34},
{name: '連雲港', value: 35},
{name: '葫蘆島', value: 35},
{name: '常熟', value: 36},
{name: '東莞', value: 36},
{name: '河源', value: 36},
{name: '淮安', value: 36},
{name: '泰州', value: 36},
{name: '南甯', value: 37},
{name: '營口', value: 37},
{name: '惠州', value: 37},
{name: '江陰', value: 37},
{name: '蓬萊', value: 37},
{name: '韶關', value: 38},
{name: '嘉峪關', value: 38},
{name: '廣州', value: 38},
{name: '延安', value: 38},
{name: '太原', value: 39},
{name: '清遠', value: 39},
{name: '中山', value: 39},
{name: '昆明', value: 39},
{name: '壽光', value: 40},
{name: '盤錦', value: 40},
{name: '長治', value: 41},
{name: '深圳', value: 41},
{name: '珠海', value: 42},
{name: '宿遷', value: 43},
{name: '鹹陽', value: 43},
{name: '銅川', value: 44},
{name: '平度', value: 44},
{name: '佛山', value: 44},
{name: '海口', value: 44},
{name: '江門', value: 45},
{name: '章丘', value: 45},
{name: '肇慶', value: 46},
{name: '大連', value: 47},
{name: '臨汾', value: 47},
{name: '吳江', value: 47},
{name: '石嘴山', value: 49},
{name: '沈陽', value: 50},
{name: '蘇州', value: 50},
{name: '茂名', value: 50},
{name: '嘉興', value: 51},
{name: '長春', value: 51},
{name: '膠州', value: 52},
{name: '銀川', value: 52},
{name: '張家港', value: 52},
{name: '三門峽', value: 53},
{name: '錦州', value: 54},
{name: '南昌', value: 54},
{name: '柳州', value: 54},
{name: '三亞', value: 54},
{name: '自貢', value: 56},
{name: '吉林', value: 56},
{name: '陽江', value: 57},
{name: '泸州', value: 57},
{name: '西甯', value: 57},
{name: '宜賓', value: 58},
{name: '呼和浩特', value: 58},
{name: '成都', value: 58},
{name: '大同', value: 58},
{name: '鎮江', value: 59},
{name: '桂林', value: 59},
{name: '張家界', value: 59},
{name: '宜興', value: 59},
{name: '北海', value: 60},
{name: '西安', value: 61},
{name: '金壇', value: 62},
{name: '東營', value: 62},
{name: '牡丹江', value: 63},
{name: '遵義', value: 63},
{name: '紹興', value: 63},
{name: '揚州', value: 64},
{name: '常州', value: 64},
{name: '濰坊', value: 65},
{name: '重慶', value: 66},
{name: '台州', value: 67},
{name: '南京', value: 67},
{name: '濱州', value: 70},
{name: '貴陽', value: 71},
{name: '無錫', value: 71},
{name: '本溪', value: 71},
{name: '克拉瑪依', value: 72},
{name: '渭南', value: 72},
{name: '馬鞍山', value: 72},
{name: '寶雞', 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: '標頭', value: 80},
{name: '綿陽', value: 80},
{name: '烏魯木齊', value: 84},
{name: '棗莊', value: 84},
{name: '杭州', value: 84},
{name: '淄博', value: 85},
{name: '鞍山', value: 86},
{name: '溧陽', value: 86},
{name: '庫爾勒', value: 86},
{name: '安陽', value: 90},
{name: '開封', value: 90},
{name: '濟南', value: 92},
{name: '德陽', value: 93},
{name: '溫州', value: 95},
{name: '九江', value: 96},
{name: '邯鄲', value: 98},
{name: '臨安', value: 99},
{name: '蘭州', value: 99},
{name: '滄州', value: 100},
{name: '臨沂', value: 103},
{name: '南充', value: 104},
{name: '天津', value: 105},
{name: '富陽', value: 106},
{name: '泰安', value: 112},
{name: '諸暨', value: 112},
{name: '鄭州', value: 313},
{name: '哈爾濱', value: 114},
{name: '聊城', value: 116},
{name: '蕪湖', value: 117},
{name: '唐山', value: 119},
{name: '平頂山', value: 119},
{name: '邢台', value: 119},
{name: '德州', value: 120},
{name: '濟甯', value: 120},
{name: '荊州', value: 127},
{name: '宜昌', value: 130},
{name: '義烏', value: 132},
{name: '麗水', value: 133},
{name: '洛陽', value: 134},
{name: '秦皇島', value: 136},
{name: '株洲', value: 143},
{name: '石家莊', value: 147},
{name: '萊蕪', value: 148},
{name: '常德', value: 152},
{name: '保定', value: 153},
{name: '湘潭', value: 154},
{name: '金華', value: 157},
{name: '嶽陽', value: 169},
{name: '長沙', value: 175},
{name: '衢州', value: 177},
{name: '廊坊', value: 193},
{name: '菏澤', value: 194},
{name: '合肥', value: 229},
{name: '武漢', value: 273},
{name: '大慶', value: 279}
];
var geoCoordMap = {
'海門':[121.15,31.89],
'鄂爾多斯':[109.781327,39.608266],
'招遠':[120.38,37.35],
'舟山':[122.207216,29.985295],
'齊齊哈爾':[123.97,47.33],
'鹽城':[120.13,33.38],
'赤峰':[118.87,42.28],
'青島':[120.33,36.07],
'乳山':[121.52,36.89],
'金昌':[102.188043,38.520089],
'泉州':[118.58,24.93],
'萊西':[120.53,36.86],
'日照':[119.46,35.42],
'膠南':[119.97,35.88],
'南通':[121.05,32.08],
'拉薩':[91.11,29.97],
'雲浮':[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],
'廈門':[118.1,24.46],
'汕尾':[115.375279,22.786211],
'潮州':[116.63,23.68],
'丹東':[124.37,40.13],
'太倉':[121.1,31.45],
'曲靖':[103.79,25.51],
'煙台':[121.39,37.52],
'福州':[119.3,26.08],
'瓦房店':[121.979603,39.627114],
'即墨':[120.45,36.38],
'撫順':[123.97,41.97],
'玉溪':[102.52,24.35],
'張家口':[114.87,40.82],
'陽泉':[113.57,37.85],
'萊州':[119.942327,37.177017],
'湖州':[120.1,30.86],
'汕頭':[116.69,23.39],
'昆山':[120.95,31.39],
'甯波':[121.56,29.86],
'湛江':[110.359377,21.270708],
'揭陽':[116.35,23.55],
'榮成':[122.41,37.16],
'連雲港':[119.16,34.59],
'葫蘆島':[120.836932,40.711052],
'常熟':[120.74,31.64],
'東莞':[113.75,23.04],
'河源':[114.68,23.73],
'淮安':[119.15,33.5],
'泰州':[119.9,32.49],
'南甯':[108.33,22.84],
'營口':[122.18,40.65],
'惠州':[114.4,23.09],
'江陰':[120.26,31.91],
'蓬萊':[120.75,37.8],
'韶關':[113.62,24.84],
'嘉峪關':[98.289152,39.77313],
'廣州':[113.23,23.16],
'延安':[109.47,36.6],
'太原':[112.53,37.87],
'清遠':[113.01,23.7],
'中山':[113.38,22.52],
'昆明':[102.73,25.04],
'壽光':[118.73,36.86],
'盤錦':[122.070714,41.119997],
'長治':[113.08,36.18],
'深圳':[114.07,22.62],
'珠海':[113.52,22.3],
'宿遷':[118.3,33.96],
'鹹陽':[108.72,34.36],
'銅川':[109.11,35.09],
'平度':[119.97,36.77],
'佛山':[113.11,23.05],
'海口':[110.35,20.02],
'江門':[113.06,22.61],
'章丘':[117.53,36.72],
'肇慶':[112.44,23.05],
'大連':[121.62,38.92],
'臨汾':[111.5,36.08],
'吳江':[120.63,31.16],
'石嘴山':[106.39,39.04],
'沈陽':[123.38,41.8],
'蘇州':[120.62,31.32],
'茂名':[110.88,21.68],
'嘉興':[120.76,30.77],
'長春':[125.35,43.88],
'膠州':[120.03336,36.264622],
'銀川':[106.27,38.47],
'張家港':[120.555821,31.875428],
'三門峽':[111.19,34.76],
'錦州':[121.15,41.13],
'南昌':[115.89,28.68],
'柳州':[109.4,24.33],
'三亞':[109.511909,18.252847],
'自貢':[104.778442,29.33903],
'吉林':[126.57,43.87],
'陽江':[111.95,21.85],
'泸州':[105.39,28.91],
'西甯':[101.74,36.56],
'宜賓':[104.56,29.77],
'呼和浩特':[111.65,40.82],
'成都':[104.06,30.67],
'大同':[113.3,40.12],
'鎮江':[119.44,32.2],
'桂林':[110.28,25.29],
'張家界':[110.479191,29.117096],
'宜興':[119.82,31.36],
'北海':[109.12,21.49],
'西安':[108.95,34.27],
'金壇':[119.56,31.74],
'東營':[118.49,37.46],
'牡丹江':[129.58,44.6],
'遵義':[106.9,27.7],
'紹興':[120.58,30.01],
'揚州':[119.42,32.39],
'常州':[119.95,31.79],
'濰坊':[119.1,36.62],
'重慶':[106.54,29.59],
'台州':[121.420757,28.656386],
'南京':[118.78,32.04],
'濱州':[118.03,37.36],
'貴陽':[106.71,26.57],
'無錫':[120.29,31.59],
'本溪':[123.73,41.3],
'克拉瑪依':[84.77,45.59],
'渭南':[109.5,34.52],
'馬鞍山':[118.48,31.56],
'寶雞':[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],
'標頭':[110,40.58],
'綿陽':[104.73,31.48],
'烏魯木齊':[87.68,43.77],
'棗莊':[117.57,34.86],
'杭州':[120.19,30.26],
'淄博':[118.05,36.78],
'鞍山':[122.85,41.12],
'溧陽':[119.48,31.43],
'庫爾勒':[86.06,41.68],
'安陽':[114.35,36.1],
'開封':[114.35,34.79],
'濟南':[117,36.65],
'德陽':[104.37,31.13],
'溫州':[120.65,28.01],
'九江':[115.97,29.71],
'邯鄲':[114.47,36.6],
'臨安':[119.72,30.23],
'蘭州':[103.73,36.03],
'滄州':[116.83,38.33],
'臨沂':[118.35,35.05],
'南充':[106.110698,30.837793],
'天津':[117.2,39.13],
'富陽':[119.95,30.07],
'泰安':[117.13,36.18],
'諸暨':[120.23,29.71],
'鄭州':[113.65,34.76],
'哈爾濱':[126.63,45.75],
'聊城':[115.97,36.45],
'蕪湖':[118.38,31.33],
'唐山':[118.02,39.63],
'平頂山':[113.29,33.75],
'邢台':[114.48,37.05],
'德州':[116.29,37.45],
'濟甯':[116.59,35.38],
'荊州':[112.239741,30.335165],
'宜昌':[111.3,30.7],
'義烏':[120.06,29.32],
'麗水':[119.92,28.45],
'洛陽':[112.44,34.7],
'秦皇島':[119.57,39.95],
'株洲':[113.16,27.83],
'石家莊':[114.48,38.03],
'萊蕪':[117.67,36.19],
'常德':[111.69,29.05],
'保定':[115.48,38.85],
'湘潭':[112.91,27.87],
'金華':[119.64,29.12],
'嶽陽':[113.09,29.37],
'長沙':[113,28.21],
'衢州':[118.88,28.97],
'廊坊':[116.7,39.53],
'菏澤':[115.480656,35.23375],
'合肥':[117.27,31.86],
'武漢':[114.31,30.52],
'大慶':[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: '實時行駛車輛',
subtext: 'data from PM25.in',
sublink: 'http://www.pm25.in',
left: 'center',
textStyle: {
color: '#fff'
}
},**/
tooltip : {
trigger: 'item',
formatter: function (params) {
if(typeof(params.value)[2] == "undefined"){
return params.name + ' : ' + params.value;
}else{
return params.name + ' : ' + params.value[2];
}
}
},
geo: {
map: 'china',
label: {
emphasis: {
show: false
}
},
roam: false,//禁止其放大縮小
itemStyle: {
normal: {
areaColor: '#4c60ff',
borderColor: '#002097'
},
emphasis: {
areaColor: '#293fff'
}
}
},
series : [
{
name: '消費金額',
type: 'scatter',
coordinateSystem: 'geo',
data: convertData(data),
symbolSize: function (val) {
return val[2] / 15;
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ffeb7b'
}
}
}
]
};
myChart.setOption(option);
window.addEventListener("resize",function(){
myChart.resize();
});
}
其實，你不需要完全讀懂echarts的每個參數，隻需要在用到的時候會去檢視他的配置手冊，使用文檔，就可以很簡單的實作所有的圖形。
希望做資料可視化的小夥伴，可以利用已有的插件，友善、快捷的實作項目中的複雜功能。
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