maps.js 12 KB

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  1. //
  2. //地图旁边的进度条
  3. var progress2chart="";
  4. function progress2char(){
  5. progress2chart = echarts.init(document.getElementById("progress2-chart"));
  6. var baifenbi = [0.333, 0.444, 0.555, 0.777, 0.888];
  7. var grayBar = [1, 1, 1, 1, 1, ];
  8. var xingm = ['宁波', '台州', '焦作', '邢台', '嘉兴'];
  9. option = {
  10. title: {
  11. text: '设备故障率排名',
  12. left: '20%',
  13. top:"20%",
  14. textStyle:{
  15. color:"#fff",
  16. fontSize:12
  17. }
  18. },
  19. grid: {
  20. left: '32%', //如果离左边太远就用这个......
  21. right: '25%',
  22. bottom: '35%',
  23. top: '25%',
  24. containLabel: true
  25. },
  26. xAxis: [{
  27. show: false,
  28. },
  29. {
  30. show: false,
  31. }
  32. ],
  33. yAxis: {
  34. type: 'category',
  35. axisLabel: {
  36. show: true, //让Y轴数据不显示
  37. },
  38. axisTick: {
  39. show: false, //隐藏Y轴刻度
  40. },
  41. axisLine: {
  42. show: false, //隐藏Y轴线段
  43. },
  44. },
  45. series: [
  46. //背景色
  47. {
  48. show: true,
  49. type: 'bar',
  50. barGap: '-100%',
  51. barWidth: '10%', //统计条宽度
  52. itemStyle: {
  53. normal: {
  54. barBorderRadius: 50,
  55. color: 'rgba(41, 55, 94)'
  56. },
  57. },
  58. label: {
  59. normal: {
  60. show: true,
  61. textStyle: {
  62. color: '#fff', //百分比颜色
  63. },
  64. position: 'right',
  65. formatter: function(data) {
  66. return baifenbi[data.dataIndex]+'%'
  67. },
  68. }
  69. },
  70. z: 1,
  71. data: grayBar,
  72. },
  73. //蓝条
  74. {
  75. show: true,
  76. type: 'bar',
  77. barGap: '-100%',
  78. barWidth: '10%', //统计条宽度
  79. itemStyle: {
  80. normal: {
  81. barBorderRadius: 50, //统计条弧度
  82. color:"#ffa322"
  83. },
  84. },
  85. max: 1,
  86. label: {
  87. normal: {
  88. show: true,
  89. textStyle: {
  90. color: '#fff', //百分比颜色
  91. },
  92. position:"left",
  93. formatter: function(data) {
  94. //富文本固定格式{colorName|这里填你想要写的内容}
  95. return xingm[data.dataIndex]
  96. },
  97. }
  98. },
  99. data: baifenbi,
  100. },
  101. ]
  102. };
  103. progress2chart.setOption(option)
  104. }
  105. //地图
  106. var mapchart="";
  107. function mapchar(){
  108. var data = [
  109. { name: '焦作', value: 75 },
  110. { name: '北京', value: 79 },
  111. { name: '天津', value: 79 },
  112. { name: '上海', value: 80 },
  113. { name: '西安', value: 80 },
  114. { name: '广州', value: 80 },
  115. { name: '深圳', value: 84 },
  116. ];
  117. var geoCoordMap = {
  118. '海门':[121.15,31.89],
  119. '鄂尔多斯':[109.781327,39.608266],
  120. '招远':[120.38,37.35],
  121. '舟山':[122.207216,29.985295],
  122. '齐齐哈尔':[123.97,47.33],
  123. '盐城':[120.13,33.38],
  124. '赤峰':[118.87,42.28],
  125. '青岛':[120.33,36.07],
  126. '乳山':[121.52,36.89],
  127. '金昌':[102.188043,38.520089],
  128. '泉州':[118.58,24.93],
  129. '莱西':[120.53,36.86],
  130. '日照':[119.46,35.42],
  131. '胶南':[119.97,35.88],
  132. '南通':[121.05,32.08],
  133. '拉萨':[91.11,29.97],
  134. '云浮':[112.02,22.93],
  135. '梅州':[116.1,24.55],
  136. '文登':[122.05,37.2],
  137. '上海':[121.48,31.22],
  138. '攀枝花':[101.718637,26.582347],
  139. '威海':[122.1,37.5],
  140. '承德':[117.93,40.97],
  141. '厦门':[118.1,24.46],
  142. '汕尾':[115.375279,22.786211],
  143. '潮州':[116.63,23.68],
  144. '丹东':[124.37,40.13],
  145. '太仓':[121.1,31.45],
  146. '曲靖':[103.79,25.51],
  147. '烟台':[121.39,37.52],
  148. '福州':[119.3,26.08],
  149. '瓦房店':[121.979603,39.627114],
  150. '即墨':[120.45,36.38],
  151. '抚顺':[123.97,41.97],
  152. '玉溪':[102.52,24.35],
  153. '张家口':[114.87,40.82],
  154. '阳泉':[113.57,37.85],
  155. '莱州':[119.942327,37.177017],
  156. '湖州':[120.1,30.86],
  157. '汕头':[116.69,23.39],
  158. '昆山':[120.95,31.39],
  159. '宁波':[121.56,29.86],
  160. '湛江':[110.359377,21.270708],
  161. '揭阳':[116.35,23.55],
  162. '荣成':[122.41,37.16],
  163. '连云港':[119.16,34.59],
  164. '葫芦岛':[120.836932,40.711052],
  165. '常熟':[120.74,31.64],
  166. '东莞':[113.75,23.04],
  167. '河源':[114.68,23.73],
  168. '淮安':[119.15,33.5],
  169. '泰州':[119.9,32.49],
  170. '南宁':[108.33,22.84],
  171. '营口':[122.18,40.65],
  172. '惠州':[114.4,23.09],
  173. '江阴':[120.26,31.91],
  174. '蓬莱':[120.75,37.8],
  175. '韶关':[113.62,24.84],
  176. '嘉峪关':[98.289152,39.77313],
  177. '广州':[113.23,23.16],
  178. '延安':[109.47,36.6],
  179. '太原':[112.53,37.87],
  180. '清远':[113.01,23.7],
  181. '中山':[113.38,22.52],
  182. '昆明':[102.73,25.04],
  183. '寿光':[118.73,36.86],
  184. '盘锦':[122.070714,41.119997],
  185. '长治':[113.08,36.18],
  186. '深圳':[114.07,22.62],
  187. '珠海':[113.52,22.3],
  188. '宿迁':[118.3,33.96],
  189. '咸阳':[108.72,34.36],
  190. '铜川':[109.11,35.09],
  191. '平度':[119.97,36.77],
  192. '佛山':[113.11,23.05],
  193. '海口':[110.35,20.02],
  194. '江门':[113.06,22.61],
  195. '章丘':[117.53,36.72],
  196. '肇庆':[112.44,23.05],
  197. '大连':[121.62,38.92],
  198. '临汾':[111.5,36.08],
  199. '吴江':[120.63,31.16],
  200. '石嘴山':[106.39,39.04],
  201. '沈阳':[123.38,41.8],
  202. '苏州':[120.62,31.32],
  203. '茂名':[110.88,21.68],
  204. '嘉兴':[120.76,30.77],
  205. '长春':[125.35,43.88],
  206. '胶州':[120.03336,36.264622],
  207. '银川':[106.27,38.47],
  208. '张家港':[120.555821,31.875428],
  209. '三门峡':[111.19,34.76],
  210. '锦州':[121.15,41.13],
  211. '南昌':[115.89,28.68],
  212. '柳州':[109.4,24.33],
  213. '三亚':[109.511909,18.252847],
  214. '自贡':[104.778442,29.33903],
  215. '吉林':[126.57,43.87],
  216. '阳江':[111.95,21.85],
  217. '泸州':[105.39,28.91],
  218. '西宁':[101.74,36.56],
  219. '宜宾':[104.56,29.77],
  220. '呼和浩特':[111.65,40.82],
  221. '成都':[104.06,30.67],
  222. '大同':[113.3,40.12],
  223. '镇江':[119.44,32.2],
  224. '桂林':[110.28,25.29],
  225. '张家界':[110.479191,29.117096],
  226. '宜兴':[119.82,31.36],
  227. '北海':[109.12,21.49],
  228. '西安':[108.95,34.27],
  229. '金坛':[119.56,31.74],
  230. '东营':[118.49,37.46],
  231. '牡丹江':[129.58,44.6],
  232. '遵义':[106.9,27.7],
  233. '绍兴':[120.58,30.01],
  234. '扬州':[119.42,32.39],
  235. '常州':[119.95,31.79],
  236. '潍坊':[119.1,36.62],
  237. '重庆':[106.54,29.59],
  238. '台州':[121.420757,28.656386],
  239. '南京':[118.78,32.04],
  240. '滨州':[118.03,37.36],
  241. '贵阳':[106.71,26.57],
  242. '无锡':[120.29,31.59],
  243. '本溪':[123.73,41.3],
  244. '克拉玛依':[84.77,45.59],
  245. '渭南':[109.5,34.52],
  246. '马鞍山':[118.48,31.56],
  247. '宝鸡':[107.15,34.38],
  248. '焦作':[113.21,35.24],
  249. '句容':[119.16,31.95],
  250. '北京':[116.46,39.92],
  251. '徐州':[117.2,34.26],
  252. '衡水':[115.72,37.72],
  253. '包头':[110,40.58],
  254. '绵阳':[104.73,31.48],
  255. '乌鲁木齐':[87.68,43.77],
  256. '枣庄':[117.57,34.86],
  257. '杭州':[120.19,30.26],
  258. '淄博':[118.05,36.78],
  259. '鞍山':[122.85,41.12],
  260. '溧阳':[119.48,31.43],
  261. '库尔勒':[86.06,41.68],
  262. '安阳':[114.35,36.1],
  263. '开封':[114.35,34.79],
  264. '济南':[117,36.65],
  265. '德阳':[104.37,31.13],
  266. '温州':[120.65,28.01],
  267. '九江':[115.97,29.71],
  268. '邯郸':[114.47,36.6],
  269. '临安':[119.72,30.23],
  270. '兰州':[103.73,36.03],
  271. '沧州':[116.83,38.33],
  272. '临沂':[118.35,35.05],
  273. '南充':[106.110698,30.837793],
  274. '天津':[117.2,39.13],
  275. '富阳':[119.95,30.07],
  276. '泰安':[117.13,36.18],
  277. '诸暨':[120.23,29.71],
  278. '郑州':[113.65,34.76],
  279. '哈尔滨':[126.63,45.75],
  280. '聊城':[115.97,36.45],
  281. '芜湖':[118.38,31.33],
  282. '唐山':[118.02,39.63],
  283. '平顶山':[113.29,33.75],
  284. '邢台':[114.48,37.05],
  285. '德州':[116.29,37.45],
  286. '济宁':[116.59,35.38],
  287. '荆州':[112.239741,30.335165],
  288. '宜昌':[111.3,30.7],
  289. '义乌':[120.06,29.32],
  290. '丽水':[119.92,28.45],
  291. '洛阳':[112.44,34.7],
  292. '秦皇岛':[119.57,39.95],
  293. '株洲':[113.16,27.83],
  294. '石家庄':[114.48,38.03],
  295. '莱芜':[117.67,36.19],
  296. '常德':[111.69,29.05],
  297. '保定':[115.48,38.85],
  298. '湘潭':[112.91,27.87],
  299. '金华':[119.64,29.12],
  300. '岳阳':[113.09,29.37],
  301. '长沙':[113,28.21],
  302. '衢州':[118.88,28.97],
  303. '廊坊':[116.7,39.53],
  304. '菏泽':[115.480656,35.23375],
  305. '合肥':[117.27,31.86],
  306. '武汉':[114.31,30.52],
  307. '大庆':[125.03,46.58]
  308. };
  309. var convertData = function(data) {
  310. var res = [];
  311. for (var i = 0; i < data.length; i++) {
  312. var geoCoord = geoCoordMap[data[i].name];
  313. if (geoCoord) {
  314. res.push({
  315. name: data[i].name,
  316. value: geoCoord.concat(data[i].value)
  317. });
  318. }
  319. }
  320. return res;
  321. };
  322. console.log(convertData(data));
  323. var uploadedDataURL = "js/data-1517645039291-B1vgpymUz.json";
  324. mapchart= echarts.init(document.getElementById("map-chart"));
  325. $.getJSON(uploadedDataURL, function(geoJson) {
  326. echarts.registerMap('zhongguo', geoJson);
  327. option = {
  328. tooltip: {
  329. trigger: 'item',
  330. formatter: function(params) {
  331. //console.log(params)
  332. if (typeof(params.value)[2] == "undefined") {
  333. return params.name
  334. } else {
  335. return params.name + ' : ' + params.value[2];
  336. }
  337. }
  338. },
  339. geo: {
  340. show: true,
  341. map: 'zhongguo',
  342. label: {
  343. emphasis: {
  344. show: false
  345. }
  346. },
  347. roam: true,
  348. left:'6%',
  349. right:'5%',
  350. top:"8%",
  351. itemStyle: {
  352. normal: {
  353. borderColor: '#4085d3',
  354. borderWidth: 2,
  355. shadowColor: '#000',
  356. shadowBlur: 50,
  357. areaColor: '#565cf8',
  358. },
  359. emphasis: {
  360. areaColor: '#4f92fa' //鼠标移上每一省份的颜色
  361. }
  362. }
  363. },
  364. series: [
  365. {
  366. type: 'map',
  367. map: 'zhongguo',
  368. geoIndex: 0,
  369. },
  370. {
  371. name: 'Tooltip Test',
  372. type: 'effectScatter',
  373. coordinateSystem: 'geo',
  374. data: convertData(data),
  375. symbolSize: function (val) {
  376. return val[2] / 5;
  377. },
  378. showEffectOn: 'render',
  379. rippleEffect: {
  380. brushType: 'stroke'
  381. },
  382. hoverAnimation: true,
  383. label: {
  384. normal: {
  385. formatter: '{b}',
  386. position: 'right',
  387. show: true
  388. }
  389. },
  390. itemStyle: {
  391. normal: {
  392. color: '#f4e925',
  393. shadowBlur: 10,
  394. shadowColor: '#333'
  395. }
  396. },
  397. zlevel: 1
  398. }
  399. ]
  400. };
  401. //myChart.setOption(option);
  402. mapchart.setOption(option);
  403. mapchart.on('click',function(params){ //点击事件
  404. alert(params)
  405. });
  406. });
  407. };