maps.js 12 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436
  1. //地图旁边的进度条
  2. var progress2chart="";
  3. function progress2char(){
  4. progress2chart = echarts.init(document.getElementById("progress2-chart"));
  5. var baifenbi = [0.333, 0.444, 0.555, 0.777, 0.888];
  6. var grayBar = [1, 1, 1, 1, 1, ];
  7. var xingm = ['宁波', '台州', '焦作', '邢台', '嘉兴'];
  8. option = {
  9. title: {
  10. text: '设备故障率排名',
  11. left: '20%',
  12. top:"20%",
  13. textStyle:{
  14. color:"#fff",
  15. fontSize:12
  16. }
  17. },
  18. grid: {
  19. left: '32%', //如果离左边太远就用这个......
  20. right: '25%',
  21. bottom: '35%',
  22. top: '25%',
  23. containLabel: true
  24. },
  25. xAxis: [{
  26. show: false,
  27. },
  28. {
  29. show: false,
  30. }
  31. ],
  32. yAxis: {
  33. type: 'category',
  34. axisLabel: {
  35. show: true, //让Y轴数据不显示
  36. },
  37. axisTick: {
  38. show: false, //隐藏Y轴刻度
  39. },
  40. axisLine: {
  41. show: false, //隐藏Y轴线段
  42. },
  43. },
  44. series: [
  45. //背景色
  46. {
  47. show: true,
  48. type: 'bar',
  49. barGap: '-100%',
  50. barWidth: '10%', //统计条宽度
  51. itemStyle: {
  52. normal: {
  53. barBorderRadius: 50,
  54. color: 'rgba(41, 55, 94)'
  55. },
  56. },
  57. label: {
  58. normal: {
  59. show: true,
  60. textStyle: {
  61. color: '#fff', //百分比颜色
  62. },
  63. position: 'right',
  64. formatter: function(data) {
  65. return baifenbi[data.dataIndex]+'%'
  66. },
  67. }
  68. },
  69. z: 1,
  70. data: grayBar,
  71. },
  72. //蓝条
  73. {
  74. show: true,
  75. type: 'bar',
  76. barGap: '-100%',
  77. barWidth: '10%', //统计条宽度
  78. itemStyle: {
  79. normal: {
  80. barBorderRadius: 50, //统计条弧度
  81. color:"#ffa322"
  82. },
  83. },
  84. max: 1,
  85. label: {
  86. normal: {
  87. show: true,
  88. textStyle: {
  89. color: '#fff', //百分比颜色
  90. },
  91. position:"left",
  92. formatter: function(data) {
  93. //富文本固定格式{colorName|这里填你想要写的内容}
  94. return xingm[data.dataIndex]
  95. },
  96. }
  97. },
  98. data: baifenbi,
  99. },
  100. ]
  101. };
  102. progress2chart.setOption(option)
  103. }
  104. //地图
  105. var mapchart="";
  106. function mapchar(){
  107. var data = [
  108. { name: '焦作', value: 75 },
  109. { name: '北京', value: 79 },
  110. { name: '天津', value: 79 },
  111. { name: '上海', value: 80 },
  112. { name: '西安', value: 80 },
  113. { name: '广州', value: 80 },
  114. { name: '深圳', value: 84 },
  115. ];
  116. var geoCoordMap = {
  117. '海门':[121.15,31.89],
  118. '鄂尔多斯':[109.781327,39.608266],
  119. '招远':[120.38,37.35],
  120. '舟山':[122.207216,29.985295],
  121. '齐齐哈尔':[123.97,47.33],
  122. '盐城':[120.13,33.38],
  123. '赤峰':[118.87,42.28],
  124. '青岛':[120.33,36.07],
  125. '乳山':[121.52,36.89],
  126. '金昌':[102.188043,38.520089],
  127. '泉州':[118.58,24.93],
  128. '莱西':[120.53,36.86],
  129. '日照':[119.46,35.42],
  130. '胶南':[119.97,35.88],
  131. '南通':[121.05,32.08],
  132. '拉萨':[91.11,29.97],
  133. '云浮':[112.02,22.93],
  134. '梅州':[116.1,24.55],
  135. '文登':[122.05,37.2],
  136. '上海':[121.48,31.22],
  137. '攀枝花':[101.718637,26.582347],
  138. '威海':[122.1,37.5],
  139. '承德':[117.93,40.97],
  140. '厦门':[118.1,24.46],
  141. '汕尾':[115.375279,22.786211],
  142. '潮州':[116.63,23.68],
  143. '丹东':[124.37,40.13],
  144. '太仓':[121.1,31.45],
  145. '曲靖':[103.79,25.51],
  146. '烟台':[121.39,37.52],
  147. '福州':[119.3,26.08],
  148. '瓦房店':[121.979603,39.627114],
  149. '即墨':[120.45,36.38],
  150. '抚顺':[123.97,41.97],
  151. '玉溪':[102.52,24.35],
  152. '张家口':[114.87,40.82],
  153. '阳泉':[113.57,37.85],
  154. '莱州':[119.942327,37.177017],
  155. '湖州':[120.1,30.86],
  156. '汕头':[116.69,23.39],
  157. '昆山':[120.95,31.39],
  158. '宁波':[121.56,29.86],
  159. '湛江':[110.359377,21.270708],
  160. '揭阳':[116.35,23.55],
  161. '荣成':[122.41,37.16],
  162. '连云港':[119.16,34.59],
  163. '葫芦岛':[120.836932,40.711052],
  164. '常熟':[120.74,31.64],
  165. '东莞':[113.75,23.04],
  166. '河源':[114.68,23.73],
  167. '淮安':[119.15,33.5],
  168. '泰州':[119.9,32.49],
  169. '南宁':[108.33,22.84],
  170. '营口':[122.18,40.65],
  171. '惠州':[114.4,23.09],
  172. '江阴':[120.26,31.91],
  173. '蓬莱':[120.75,37.8],
  174. '韶关':[113.62,24.84],
  175. '嘉峪关':[98.289152,39.77313],
  176. '广州':[113.23,23.16],
  177. '延安':[109.47,36.6],
  178. '太原':[112.53,37.87],
  179. '清远':[113.01,23.7],
  180. '中山':[113.38,22.52],
  181. '昆明':[102.73,25.04],
  182. '寿光':[118.73,36.86],
  183. '盘锦':[122.070714,41.119997],
  184. '长治':[113.08,36.18],
  185. '深圳':[114.07,22.62],
  186. '珠海':[113.52,22.3],
  187. '宿迁':[118.3,33.96],
  188. '咸阳':[108.72,34.36],
  189. '铜川':[109.11,35.09],
  190. '平度':[119.97,36.77],
  191. '佛山':[113.11,23.05],
  192. '海口':[110.35,20.02],
  193. '江门':[113.06,22.61],
  194. '章丘':[117.53,36.72],
  195. '肇庆':[112.44,23.05],
  196. '大连':[121.62,38.92],
  197. '临汾':[111.5,36.08],
  198. '吴江':[120.63,31.16],
  199. '石嘴山':[106.39,39.04],
  200. '沈阳':[123.38,41.8],
  201. '苏州':[120.62,31.32],
  202. '茂名':[110.88,21.68],
  203. '嘉兴':[120.76,30.77],
  204. '长春':[125.35,43.88],
  205. '胶州':[120.03336,36.264622],
  206. '银川':[106.27,38.47],
  207. '张家港':[120.555821,31.875428],
  208. '三门峡':[111.19,34.76],
  209. '锦州':[121.15,41.13],
  210. '南昌':[115.89,28.68],
  211. '柳州':[109.4,24.33],
  212. '三亚':[109.511909,18.252847],
  213. '自贡':[104.778442,29.33903],
  214. '吉林':[126.57,43.87],
  215. '阳江':[111.95,21.85],
  216. '泸州':[105.39,28.91],
  217. '西宁':[101.74,36.56],
  218. '宜宾':[104.56,29.77],
  219. '呼和浩特':[111.65,40.82],
  220. '成都':[104.06,30.67],
  221. '大同':[113.3,40.12],
  222. '镇江':[119.44,32.2],
  223. '桂林':[110.28,25.29],
  224. '张家界':[110.479191,29.117096],
  225. '宜兴':[119.82,31.36],
  226. '北海':[109.12,21.49],
  227. '西安':[108.95,34.27],
  228. '金坛':[119.56,31.74],
  229. '东营':[118.49,37.46],
  230. '牡丹江':[129.58,44.6],
  231. '遵义':[106.9,27.7],
  232. '绍兴':[120.58,30.01],
  233. '扬州':[119.42,32.39],
  234. '常州':[119.95,31.79],
  235. '潍坊':[119.1,36.62],
  236. '重庆':[106.54,29.59],
  237. '台州':[121.420757,28.656386],
  238. '南京':[118.78,32.04],
  239. '滨州':[118.03,37.36],
  240. '贵阳':[106.71,26.57],
  241. '无锡':[120.29,31.59],
  242. '本溪':[123.73,41.3],
  243. '克拉玛依':[84.77,45.59],
  244. '渭南':[109.5,34.52],
  245. '马鞍山':[118.48,31.56],
  246. '宝鸡':[107.15,34.38],
  247. '焦作':[113.21,35.24],
  248. '句容':[119.16,31.95],
  249. '北京':[116.46,39.92],
  250. '徐州':[117.2,34.26],
  251. '衡水':[115.72,37.72],
  252. '包头':[110,40.58],
  253. '绵阳':[104.73,31.48],
  254. '乌鲁木齐':[87.68,43.77],
  255. '枣庄':[117.57,34.86],
  256. '杭州':[120.19,30.26],
  257. '淄博':[118.05,36.78],
  258. '鞍山':[122.85,41.12],
  259. '溧阳':[119.48,31.43],
  260. '库尔勒':[86.06,41.68],
  261. '安阳':[114.35,36.1],
  262. '开封':[114.35,34.79],
  263. '济南':[117,36.65],
  264. '德阳':[104.37,31.13],
  265. '温州':[120.65,28.01],
  266. '九江':[115.97,29.71],
  267. '邯郸':[114.47,36.6],
  268. '临安':[119.72,30.23],
  269. '兰州':[103.73,36.03],
  270. '沧州':[116.83,38.33],
  271. '临沂':[118.35,35.05],
  272. '南充':[106.110698,30.837793],
  273. '天津':[117.2,39.13],
  274. '富阳':[119.95,30.07],
  275. '泰安':[117.13,36.18],
  276. '诸暨':[120.23,29.71],
  277. '郑州':[113.65,34.76],
  278. '哈尔滨':[126.63,45.75],
  279. '聊城':[115.97,36.45],
  280. '芜湖':[118.38,31.33],
  281. '唐山':[118.02,39.63],
  282. '平顶山':[113.29,33.75],
  283. '邢台':[114.48,37.05],
  284. '德州':[116.29,37.45],
  285. '济宁':[116.59,35.38],
  286. '荆州':[112.239741,30.335165],
  287. '宜昌':[111.3,30.7],
  288. '义乌':[120.06,29.32],
  289. '丽水':[119.92,28.45],
  290. '洛阳':[112.44,34.7],
  291. '秦皇岛':[119.57,39.95],
  292. '株洲':[113.16,27.83],
  293. '石家庄':[114.48,38.03],
  294. '莱芜':[117.67,36.19],
  295. '常德':[111.69,29.05],
  296. '保定':[115.48,38.85],
  297. '湘潭':[112.91,27.87],
  298. '金华':[119.64,29.12],
  299. '岳阳':[113.09,29.37],
  300. '长沙':[113,28.21],
  301. '衢州':[118.88,28.97],
  302. '廊坊':[116.7,39.53],
  303. '菏泽':[115.480656,35.23375],
  304. '合肥':[117.27,31.86],
  305. '武汉':[114.31,30.52],
  306. '大庆':[125.03,46.58]
  307. };
  308. var convertData = function(data) {
  309. var res = [];
  310. for (var i = 0; i < data.length; i++) {
  311. var geoCoord = geoCoordMap[data[i].name];
  312. if (geoCoord) {
  313. res.push({
  314. name: data[i].name,
  315. value: geoCoord.concat(data[i].value)
  316. });
  317. }
  318. }
  319. return res;
  320. };
  321. console.log(convertData(data));
  322. var uploadedDataURL = "js/data-1517645039291-B1vgpymUz.json";
  323. mapchart= echarts.init(document.getElementById("map-chart"));
  324. $.getJSON(uploadedDataURL, function(geoJson) {
  325. echarts.registerMap('zhongguo', geoJson);
  326. option = {
  327. tooltip: {
  328. trigger: 'item',
  329. formatter: function(params) {
  330. //console.log(params)
  331. if (typeof(params.value)[2] == "undefined") {
  332. return params.name
  333. } else {
  334. return params.name + ' : ' + params.value[2];
  335. }
  336. }
  337. },
  338. geo: {
  339. show: true,
  340. map: 'zhongguo',
  341. label: {
  342. emphasis: {
  343. show: false
  344. }
  345. },
  346. roam: true,
  347. left:'6%',
  348. right:'5%',
  349. top:"8%",
  350. itemStyle: {
  351. normal: {
  352. borderColor: '#4085d3',
  353. borderWidth: 2,
  354. shadowColor: '#000',
  355. shadowBlur: 50,
  356. areaColor: '#565cf8',
  357. },
  358. emphasis: {
  359. areaColor: '#4f92fa' //鼠标移上每一省份的颜色
  360. }
  361. }
  362. },
  363. series: [
  364. {
  365. type: 'map',
  366. map: 'zhongguo',
  367. geoIndex: 0,
  368. },
  369. {
  370. name: 'Tooltip Test',
  371. type: 'effectScatter',
  372. coordinateSystem: 'geo',
  373. data: convertData(data),
  374. symbolSize: function (val) {
  375. return val[2] / 5;
  376. },
  377. showEffectOn: 'render',
  378. rippleEffect: {
  379. brushType: 'stroke'
  380. },
  381. hoverAnimation: true,
  382. label: {
  383. normal: {
  384. formatter: '{b}',
  385. position: 'right',
  386. show: true
  387. }
  388. },
  389. itemStyle: {
  390. normal: {
  391. color: '#f4e925',
  392. shadowBlur: 10,
  393. shadowColor: '#333'
  394. }
  395. },
  396. zlevel: 1
  397. }
  398. ]
  399. };
  400. //myChart.setOption(option);
  401. mapchart.setOption(option);
  402. mapchart.on('click',function(params){ //点击事件
  403. alert(params)
  404. });
  405. });
  406. };