echarts7.html 20 KB

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  1. <!doctype html>
  2. <html lang="en">
  3. <head>
  4. <meta charset="UTF-8">
  5. <title>统计图表-WeAdmin Frame型后台管理系统-WeAdmin 1.0</title>
  6. <meta name="renderer" content="webkit|ie-comp|ie-stand">
  7. <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
  8. <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=0">
  9. <meta http-equiv="Cache-Control" content="no-siteapp" />
  10. <link rel="stylesheet" href="../../static/css/font.css">
  11. <link rel="stylesheet" href="../../static/css/weadmin.css">
  12. </head>
  13. <body>
  14. <div class="weadmin-body">
  15. <blockquote class="layui-elem-quote">
  16. 特别声明:ECharts,一个纯 Javascript 的图表库,可以流畅的运行在 PC 和移动设备上,兼容当前绝大部分浏览器(IE8/9/10/11,Chrome,Firefox,Safari等),底层依赖轻量级的 Canvas 类库 ZRender,提供直观,生动,可交互,可高度个性化定制的数据可视化图表。WeAdmin提示:如需使用或者详细更多案例可以访问官网 <a href="http://echarts.baidu.com/" style="color:red">ECharts</a>。
  17. </blockquote>
  18. <!-- 为 ECharts 准备一个具备大小(宽高)的 DOM -->
  19. <div id="main" style="width: 100%;height:400px;"></div>
  20. <blockquote class="layui-elem-quote">
  21. 注意:本案例的Echarts图表库由cdn引入,需要在线才能正常使用,若要离线使用,请至Echarts官网下载。
  22. </blockquote>
  23. </div>
  24. <script src="//cdn.bootcss.com/echarts/4.0.2/echarts.min.js"></script>
  25. <script src="//cdn.bootcss.com/echarts/4.0.2/extension/bmap.min.js"></script>
  26. <script src="//echarts.baidu.com/asset/map/js/china.js"></script>
  27. <script type="text/javascript">
  28. // 基于准备好的dom,初始化echarts实例
  29. var myChart = echarts.init(document.getElementById('main'));
  30. myChart.setOption({
  31. series: [{
  32. type: 'map',
  33. map: 'china'
  34. }]
  35. });
  36. var geoCoordMap = {
  37. "海门":[121.15,31.89],
  38. "鄂尔多斯":[109.781327,39.608266],
  39. "招远":[120.38,37.35],
  40. "舟山":[122.207216,29.985295],
  41. "齐齐哈尔":[123.97,47.33],
  42. "盐城":[120.13,33.38],
  43. "赤峰":[118.87,42.28],
  44. "青岛":[120.33,36.07],
  45. "乳山":[121.52,36.89],
  46. "金昌":[102.188043,38.520089],
  47. "泉州":[118.58,24.93],
  48. "莱西":[120.53,36.86],
  49. "日照":[119.46,35.42],
  50. "胶南":[119.97,35.88],
  51. "南通":[121.05,32.08],
  52. "拉萨":[91.11,29.97],
  53. "云浮":[112.02,22.93],
  54. "梅州":[116.1,24.55],
  55. "文登":[122.05,37.2],
  56. "上海":[121.48,31.22],
  57. "攀枝花":[101.718637,26.582347],
  58. "威海":[122.1,37.5],
  59. "承德":[117.93,40.97],
  60. "厦门":[118.1,24.46],
  61. "汕尾":[115.375279,22.786211],
  62. "潮州":[116.63,23.68],
  63. "丹东":[124.37,40.13],
  64. "太仓":[121.1,31.45],
  65. "曲靖":[103.79,25.51],
  66. "烟台":[121.39,37.52],
  67. "福州":[119.3,26.08],
  68. "瓦房店":[121.979603,39.627114],
  69. "即墨":[120.45,36.38],
  70. "抚顺":[123.97,41.97],
  71. "玉溪":[102.52,24.35],
  72. "张家口":[114.87,40.82],
  73. "阳泉":[113.57,37.85],
  74. "莱州":[119.942327,37.177017],
  75. "湖州":[120.1,30.86],
  76. "汕头":[116.69,23.39],
  77. "昆山":[120.95,31.39],
  78. "宁波":[121.56,29.86],
  79. "湛江":[110.359377,21.270708],
  80. "揭阳":[116.35,23.55],
  81. "荣成":[122.41,37.16],
  82. "连云港":[119.16,34.59],
  83. "葫芦岛":[120.836932,40.711052],
  84. "常熟":[120.74,31.64],
  85. "东莞":[113.75,23.04],
  86. "河源":[114.68,23.73],
  87. "淮安":[119.15,33.5],
  88. "泰州":[119.9,32.49],
  89. "南宁":[108.33,22.84],
  90. "营口":[122.18,40.65],
  91. "惠州":[114.4,23.09],
  92. "江阴":[120.26,31.91],
  93. "蓬莱":[120.75,37.8],
  94. "韶关":[113.62,24.84],
  95. "嘉峪关":[98.289152,39.77313],
  96. "广州":[113.23,23.16],
  97. "延安":[109.47,36.6],
  98. "太原":[112.53,37.87],
  99. "清远":[113.01,23.7],
  100. "中山":[113.38,22.52],
  101. "昆明":[102.73,25.04],
  102. "寿光":[118.73,36.86],
  103. "盘锦":[122.070714,41.119997],
  104. "长治":[113.08,36.18],
  105. "深圳":[114.07,22.62],
  106. "珠海":[113.52,22.3],
  107. "宿迁":[118.3,33.96],
  108. "咸阳":[108.72,34.36],
  109. "铜川":[109.11,35.09],
  110. "平度":[119.97,36.77],
  111. "佛山":[113.11,23.05],
  112. "海口":[110.35,20.02],
  113. "江门":[113.06,22.61],
  114. "章丘":[117.53,36.72],
  115. "肇庆":[112.44,23.05],
  116. "大连":[121.62,38.92],
  117. "临汾":[111.5,36.08],
  118. "吴江":[120.63,31.16],
  119. "石嘴山":[106.39,39.04],
  120. "沈阳":[123.38,41.8],
  121. "苏州":[120.62,31.32],
  122. "茂名":[110.88,21.68],
  123. "嘉兴":[120.76,30.77],
  124. "长春":[125.35,43.88],
  125. "胶州":[120.03336,36.264622],
  126. "银川":[106.27,38.47],
  127. "张家港":[120.555821,31.875428],
  128. "三门峡":[111.19,34.76],
  129. "锦州":[121.15,41.13],
  130. "南昌":[115.89,28.68],
  131. "柳州":[109.4,24.33],
  132. "三亚":[109.511909,18.252847],
  133. "自贡":[104.778442,29.33903],
  134. "吉林":[126.57,43.87],
  135. "阳江":[111.95,21.85],
  136. "泸州":[105.39,28.91],
  137. "西宁":[101.74,36.56],
  138. "宜宾":[104.56,29.77],
  139. "呼和浩特":[111.65,40.82],
  140. "成都":[104.06,30.67],
  141. "大同":[113.3,40.12],
  142. "镇江":[119.44,32.2],
  143. "桂林":[110.28,25.29],
  144. "张家界":[110.479191,29.117096],
  145. "宜兴":[119.82,31.36],
  146. "北海":[109.12,21.49],
  147. "西安":[108.95,34.27],
  148. "金坛":[119.56,31.74],
  149. "东营":[118.49,37.46],
  150. "牡丹江":[129.58,44.6],
  151. "遵义":[106.9,27.7],
  152. "绍兴":[120.58,30.01],
  153. "扬州":[119.42,32.39],
  154. "常州":[119.95,31.79],
  155. "潍坊":[119.1,36.62],
  156. "重庆":[106.54,29.59],
  157. "台州":[121.420757,28.656386],
  158. "南京":[118.78,32.04],
  159. "滨州":[118.03,37.36],
  160. "贵阳":[106.71,26.57],
  161. "无锡":[120.29,31.59],
  162. "本溪":[123.73,41.3],
  163. "克拉玛依":[84.77,45.59],
  164. "渭南":[109.5,34.52],
  165. "马鞍山":[118.48,31.56],
  166. "宝鸡":[107.15,34.38],
  167. "焦作":[113.21,35.24],
  168. "句容":[119.16,31.95],
  169. "北京":[116.46,39.92],
  170. "徐州":[117.2,34.26],
  171. "衡水":[115.72,37.72],
  172. "包头":[110,40.58],
  173. "绵阳":[104.73,31.48],
  174. "乌鲁木齐":[87.68,43.77],
  175. "枣庄":[117.57,34.86],
  176. "杭州":[120.19,30.26],
  177. "淄博":[118.05,36.78],
  178. "鞍山":[122.85,41.12],
  179. "溧阳":[119.48,31.43],
  180. "库尔勒":[86.06,41.68],
  181. "安阳":[114.35,36.1],
  182. "开封":[114.35,34.79],
  183. "济南":[117,36.65],
  184. "德阳":[104.37,31.13],
  185. "温州":[120.65,28.01],
  186. "九江":[115.97,29.71],
  187. "邯郸":[114.47,36.6],
  188. "临安":[119.72,30.23],
  189. "兰州":[103.73,36.03],
  190. "沧州":[116.83,38.33],
  191. "临沂":[118.35,35.05],
  192. "南充":[106.110698,30.837793],
  193. "天津":[117.2,39.13],
  194. "富阳":[119.95,30.07],
  195. "泰安":[117.13,36.18],
  196. "诸暨":[120.23,29.71],
  197. "郑州":[113.65,34.76],
  198. "哈尔滨":[126.63,45.75],
  199. "聊城":[115.97,36.45],
  200. "芜湖":[118.38,31.33],
  201. "唐山":[118.02,39.63],
  202. "平顶山":[113.29,33.75],
  203. "邢台":[114.48,37.05],
  204. "德州":[116.29,37.45],
  205. "济宁":[116.59,35.38],
  206. "荆州":[112.239741,30.335165],
  207. "宜昌":[111.3,30.7],
  208. "义乌":[120.06,29.32],
  209. "丽水":[119.92,28.45],
  210. "洛阳":[112.44,34.7],
  211. "秦皇岛":[119.57,39.95],
  212. "株洲":[113.16,27.83],
  213. "石家庄":[114.48,38.03],
  214. "莱芜":[117.67,36.19],
  215. "常德":[111.69,29.05],
  216. "保定":[115.48,38.85],
  217. "湘潭":[112.91,27.87],
  218. "金华":[119.64,29.12],
  219. "岳阳":[113.09,29.37],
  220. "长沙":[113,28.21],
  221. "衢州":[118.88,28.97],
  222. "廊坊":[116.7,39.53],
  223. "菏泽":[115.480656,35.23375],
  224. "合肥":[117.27,31.86],
  225. "武汉":[114.31,30.52],
  226. "大庆":[125.03,46.58]
  227. };
  228. var convertData = function (data) {
  229. var res = [];
  230. for (var i = 0; i < data.length; i++) {
  231. var geoCoord = geoCoordMap[data[i].name];
  232. if (geoCoord) {
  233. res.push(geoCoord.concat(data[i].value));
  234. }
  235. }
  236. return res;
  237. };
  238. option = {
  239. title: {
  240. text: '全国主要城市空气质量',
  241. subtext: 'data from PM25.in',
  242. sublink: 'http://www.pm25.in',
  243. left: 'center',
  244. textStyle: {
  245. color: '#fff'
  246. }
  247. },
  248. backgroundColor: '#404a59',
  249. visualMap: {
  250. min: 0,
  251. max: 500,
  252. splitNumber: 5,
  253. inRange: {
  254. color: ['#d94e5d','#eac736','#50a3ba'].reverse()
  255. },
  256. textStyle: {
  257. color: '#fff'
  258. }
  259. },
  260. geo: {
  261. map: 'china',
  262. label: {
  263. emphasis: {
  264. show: false
  265. }
  266. },
  267. roam: true,
  268. itemStyle: {
  269. normal: {
  270. areaColor: '#323c48',
  271. borderColor: '#111'
  272. },
  273. emphasis: {
  274. areaColor: '#2a333d'
  275. }
  276. }
  277. },
  278. series: [{
  279. name: 'AQI',
  280. type: 'heatmap',
  281. coordinateSystem: 'geo',
  282. data: convertData([
  283. {name: "海门", value: 9},
  284. {name: "鄂尔多斯", value: 12},
  285. {name: "招远", value: 12},
  286. {name: "舟山", value: 12},
  287. {name: "齐齐哈尔", value: 14},
  288. {name: "盐城", value: 15},
  289. {name: "赤峰", value: 16},
  290. {name: "青岛", value: 18},
  291. {name: "乳山", value: 18},
  292. {name: "金昌", value: 19},
  293. {name: "泉州", value: 21},
  294. {name: "莱西", value: 21},
  295. {name: "日照", value: 21},
  296. {name: "胶南", value: 22},
  297. {name: "南通", value: 23},
  298. {name: "拉萨", value: 24},
  299. {name: "云浮", value: 24},
  300. {name: "梅州", value: 25},
  301. {name: "文登", value: 25},
  302. {name: "上海", value: 25},
  303. {name: "攀枝花", value: 25},
  304. {name: "威海", value: 25},
  305. {name: "承德", value: 25},
  306. {name: "厦门", value: 26},
  307. {name: "汕尾", value: 26},
  308. {name: "潮州", value: 26},
  309. {name: "丹东", value: 27},
  310. {name: "太仓", value: 27},
  311. {name: "曲靖", value: 27},
  312. {name: "烟台", value: 28},
  313. {name: "福州", value: 29},
  314. {name: "瓦房店", value: 30},
  315. {name: "即墨", value: 30},
  316. {name: "抚顺", value: 31},
  317. {name: "玉溪", value: 31},
  318. {name: "张家口", value: 31},
  319. {name: "阳泉", value: 31},
  320. {name: "莱州", value: 32},
  321. {name: "湖州", value: 32},
  322. {name: "汕头", value: 32},
  323. {name: "昆山", value: 33},
  324. {name: "宁波", value: 33},
  325. {name: "湛江", value: 33},
  326. {name: "揭阳", value: 34},
  327. {name: "荣成", value: 34},
  328. {name: "连云港", value: 35},
  329. {name: "葫芦岛", value: 35},
  330. {name: "常熟", value: 36},
  331. {name: "东莞", value: 36},
  332. {name: "河源", value: 36},
  333. {name: "淮安", value: 36},
  334. {name: "泰州", value: 36},
  335. {name: "南宁", value: 37},
  336. {name: "营口", value: 37},
  337. {name: "惠州", value: 37},
  338. {name: "江阴", value: 37},
  339. {name: "蓬莱", value: 37},
  340. {name: "韶关", value: 38},
  341. {name: "嘉峪关", value: 38},
  342. {name: "广州", value: 38},
  343. {name: "延安", value: 38},
  344. {name: "太原", value: 39},
  345. {name: "清远", value: 39},
  346. {name: "中山", value: 39},
  347. {name: "昆明", value: 39},
  348. {name: "寿光", value: 40},
  349. {name: "盘锦", value: 40},
  350. {name: "长治", value: 41},
  351. {name: "深圳", value: 41},
  352. {name: "珠海", value: 42},
  353. {name: "宿迁", value: 43},
  354. {name: "咸阳", value: 43},
  355. {name: "铜川", value: 44},
  356. {name: "平度", value: 44},
  357. {name: "佛山", value: 44},
  358. {name: "海口", value: 44},
  359. {name: "江门", value: 45},
  360. {name: "章丘", value: 45},
  361. {name: "肇庆", value: 46},
  362. {name: "大连", value: 47},
  363. {name: "临汾", value: 47},
  364. {name: "吴江", value: 47},
  365. {name: "石嘴山", value: 49},
  366. {name: "沈阳", value: 50},
  367. {name: "苏州", value: 50},
  368. {name: "茂名", value: 50},
  369. {name: "嘉兴", value: 51},
  370. {name: "长春", value: 51},
  371. {name: "胶州", value: 52},
  372. {name: "银川", value: 52},
  373. {name: "张家港", value: 52},
  374. {name: "三门峡", value: 53},
  375. {name: "锦州", value: 54},
  376. {name: "南昌", value: 54},
  377. {name: "柳州", value: 54},
  378. {name: "三亚", value: 54},
  379. {name: "自贡", value: 56},
  380. {name: "吉林", value: 56},
  381. {name: "阳江", value: 57},
  382. {name: "泸州", value: 57},
  383. {name: "西宁", value: 57},
  384. {name: "宜宾", value: 58},
  385. {name: "呼和浩特", value: 58},
  386. {name: "成都", value: 58},
  387. {name: "大同", value: 58},
  388. {name: "镇江", value: 59},
  389. {name: "桂林", value: 59},
  390. {name: "张家界", value: 59},
  391. {name: "宜兴", value: 59},
  392. {name: "北海", value: 60},
  393. {name: "西安", value: 61},
  394. {name: "金坛", value: 62},
  395. {name: "东营", value: 62},
  396. {name: "牡丹江", value: 63},
  397. {name: "遵义", value: 63},
  398. {name: "绍兴", value: 63},
  399. {name: "扬州", value: 64},
  400. {name: "常州", value: 64},
  401. {name: "潍坊", value: 65},
  402. {name: "重庆", value: 66},
  403. {name: "台州", value: 67},
  404. {name: "南京", value: 67},
  405. {name: "滨州", value: 70},
  406. {name: "贵阳", value: 71},
  407. {name: "无锡", value: 71},
  408. {name: "本溪", value: 71},
  409. {name: "克拉玛依", value: 72},
  410. {name: "渭南", value: 72},
  411. {name: "马鞍山", value: 72},
  412. {name: "宝鸡", value: 72},
  413. {name: "焦作", value: 75},
  414. {name: "句容", value: 75},
  415. {name: "北京", value: 79},
  416. {name: "徐州", value: 79},
  417. {name: "衡水", value: 80},
  418. {name: "包头", value: 80},
  419. {name: "绵阳", value: 80},
  420. {name: "乌鲁木齐", value: 84},
  421. {name: "枣庄", value: 84},
  422. {name: "杭州", value: 84},
  423. {name: "淄博", value: 85},
  424. {name: "鞍山", value: 86},
  425. {name: "溧阳", value: 86},
  426. {name: "库尔勒", value: 86},
  427. {name: "安阳", value: 90},
  428. {name: "开封", value: 90},
  429. {name: "济南", value: 92},
  430. {name: "德阳", value: 93},
  431. {name: "温州", value: 95},
  432. {name: "九江", value: 96},
  433. {name: "邯郸", value: 98},
  434. {name: "临安", value: 99},
  435. {name: "兰州", value: 99},
  436. {name: "沧州", value: 100},
  437. {name: "临沂", value: 103},
  438. {name: "南充", value: 104},
  439. {name: "天津", value: 105},
  440. {name: "富阳", value: 106},
  441. {name: "泰安", value: 112},
  442. {name: "诸暨", value: 112},
  443. {name: "郑州", value: 113},
  444. {name: "哈尔滨", value: 114},
  445. {name: "聊城", value: 116},
  446. {name: "芜湖", value: 117},
  447. {name: "唐山", value: 119},
  448. {name: "平顶山", value: 119},
  449. {name: "邢台", value: 119},
  450. {name: "德州", value: 120},
  451. {name: "济宁", value: 120},
  452. {name: "荆州", value: 127},
  453. {name: "宜昌", value: 130},
  454. {name: "义乌", value: 132},
  455. {name: "丽水", value: 133},
  456. {name: "洛阳", value: 134},
  457. {name: "秦皇岛", value: 136},
  458. {name: "株洲", value: 143},
  459. {name: "石家庄", value: 147},
  460. {name: "莱芜", value: 148},
  461. {name: "常德", value: 152},
  462. {name: "保定", value: 153},
  463. {name: "湘潭", value: 154},
  464. {name: "金华", value: 157},
  465. {name: "岳阳", value: 169},
  466. {name: "长沙", value: 175},
  467. {name: "衢州", value: 177},
  468. {name: "廊坊", value: 193},
  469. {name: "菏泽", value: 194},
  470. {name: "合肥", value: 229},
  471. {name: "武汉", value: 273},
  472. {name: "大庆", value: 279}
  473. ])
  474. }]
  475. };
  476. // 使用刚指定的配置项和数据显示图表。
  477. myChart.setOption(option);
  478. </script>
  479. </body>
  480. </html>