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东南亚十八国GDP总量
By
c***k
2017-06-22 04:36:18
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var uploadedDataURL = "/asset/get/s/data-1498630743837-BygD9pgVW.json"; myChart.showLoading(); $.get(uploadedDataURL, function(mapJson) { myChart.hideLoading(); echarts.registerMap('SoutheastAsia', mapJson); let geoCoordMap = { '缅甸': [96.328125, 24.046463999666567], '泰国': [102.83203125, 16.425547506916725], '马来西亚': [101.71142578125, 3.1843944923387464], '印度尼西亚': [106.80908203125, -6.162400921526583], '菲律宾': [120.58593749999999, 15.60187487673981], '新加坡': [103.853759765625, 1.2962761196418218], '柬埔寨': [105.1171875, 12.554563528593656], '越南': [105.8203125, 21.12549763660628], '老挝': [103.20556640625, 19.476950206488414], '印度': [77.23388671874999, 28.65203063036226], '尼泊尔': [85.2978515625, 27.761329874505233], '马尔代夫': [73.212890625, 2.986927393334876], '巴勒斯坦': [71.5869140625, 34.05265942137599], '孟加拉': [90.3955078125, 23.926013033021192], '不丹': [90.791015625, 27.68352808378776], '斯里兰卡': [80.5078125, 7.623886853120049], '文莱': [114.76318359375, 4.718777551249855], '统计': [133.20556640625, 14.476950206488414], 'GDP-缅甸': [101.328125, 46.476950206488411], 'GDP-泰国': [121.20556640625, 39.476950206488418], 'GDP-马来西亚': [80.328125, -14.476950206488414], 'GDP-印度尼西亚': [129.20556640625, -15.476950206488414], 'GDP-菲律宾': [138.00488281250000, 17.476950206488414], 'GDP-新加坡': [99.328125, -21.476950206488414], 'GDP-柬埔寨': [133.20556640625, 27.476950206488414], 'GDP-越南': [129.20556640625, 33.941191793456518], 'GDP-老挝': [115.20556640625, 45.476950206488418], 'GDP-印度': [55.20556640625, 31.476950206488411], 'GDP-尼泊尔': [78.20556640625, 40.476950206488418], 'GDP-马尔代夫': [58.20556640625, -9.476950206488414], 'GDP-巴勒斯坦': [65.20556640625, 44.476950206488411], 'GDP-孟加拉': [58.20556640625, 19.476950206488407], 'GDP-不丹': [91.20556640625, 42.476950206488418], 'GDP-斯里兰卡': [58.20556640625, 9.476950206488414], 'GDP-文莱': [135.20556640625, 4.476950206488407], }; let data = [{ name: '缅甸', value: 4822023 }, { name: '泰国', value: 6553255 }, { name: '马来西亚', value: 2949131 }, { name: '印度尼西亚', value: 5187582 }, { name: '菲律宾', value: 3590347 }, { name: '新加坡', value: 917092 }, { name: '柬埔寨', value: 632323 }, { name: '越南', value: 19317568 }, { name: '老挝', value: 9919945 }, { name: '印度', value: 69919945 }, { name: '尼泊尔', value: 19919945 }, { name: '马尔代夫', value: 6919945 }, { name: '巴勒斯坦', value: 29919945 }, { name: '孟加拉', value: 9919945 }, { name: '不丹', value: 1219945 }, { name: '斯里兰卡', value: 1919945 }, { name: '文莱', value: 999945 }]; let pathname = [ 'GDP-缅甸', 'GDP-泰国', 'GDP-马来西亚', 'GDP-印度尼西亚', 'GDP-菲律宾', 'GDP-新加坡', 'GDP-柬埔寨', 'GDP-越南', 'GDP-老挝', 'GDP-印度', 'GDP-尼泊尔', 'GDP-马尔代夫', 'GDP-巴勒斯坦', 'GDP-孟加拉', 'GDP-不丹', 'GDP-斯里兰卡', 'GDP-文莱' ]; // const pathname = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']; function formtVData(geoData, data, srcNam) { var tGeoDt = []; for (var i = 0, len = data.length; i < len; i++) { var tNam = data[i].name if (srcNam[i] != tNam) { tGeoDt.push({ name: tNam, value: geoData[tNam] }); } tGeoDt.push({ name: srcNam[i], value: geoData[srcNam[i]], symbolSize: 8, itemStyle: { normal: { color: 'red', borderColor: '#000' } } }); } return tGeoDt; } function formtGCData(geoData, data, srcNam, dest) { var tGeoDt = []; if (dest) { for (let i = 0, len = data.length; i < len; i++) { if (srcNam[i] != data[i].name) { tGeoDt.push({ coords: [geoData[srcNam[i]], geoData[data[i].name]] }); } } } else { for (let i = 0, len = data.length; i < len; i++) { if (srcNam[i] != data[i].name) { tGeoDt.push({ coords: [geoData[data[i].name], geoData[srcNam[i]]] }); } } } return tGeoDt; } let option = { backgroundColor: '#000', title: { show: false, text: '东南亚各国GDP总量', subtext: 'GDP单位:百万美元', left: 'center', top: 'top', textStyle: { fontSize: 25, color: 'rgba(255,255,255, 0.9)' } }, tooltip: { trigger: 'item', showDelay: 0, transitionDuration: 0.2, formatter: function(params) { var value = (params.value + '').split('.'); value = value[0].replace(/(\d{1,3})(?=(?:\d{3})+(?!\d))/g, '$1,'); return params.seriesName + '
' + params.name + ': ' + value; } }, visualMap: { show: false, left: 'right', min: 500000, max: 38000000, inRange: { color: ['#CCC', '#FEFEFE', '#EFEFEF', '#EEEEEE', '#EDEDED'] }, // text: ['High', 'Low'], // 文本,默认为数值文本 textStyle: { fontSize: 16, color: '#EFEFEF' }, calculable: true }, geo: { map: 'SoutheastAsia', label: { emphasis: { show: false } }, // roam: true, silent: false, center: ['10%', '30%'], scaleLimit: { min: 0.75, max: 2 }, aspectScale: 1.3, itemStyle: { normal: { shadowColor: '#002B45', shadowBlur: 4, shadowOffsetX: -12, areaColor: '#005FB2', borderColor: '#000' }, emphasis: { areaColor: '#2a333d' } }, }, series: [ { name: '定位', type: 'effectScatter', coordinateSystem: 'geo', data: [{name:'云南',value:[106,25]}], symbolSize: function(val) { return val[2] / 2; }, showEffectOn: 'render', rippleEffect: { brushType: 'stroke' }, hoverAnimation: true, itemStyle: { normal: { color: '#0ce928', shadowBlur: 20, shadowColor: '#0ce928', } }, zlevel: 1 }, { type: 'lines', zlevel: 2, effect: { show: true, period: 6, trailLength: 0.1, color: 'maroon', symbol: 'arrow', symbolSize: 8 }, lineStyle: { normal: { color: '#efefef', width: 1, opacity: 0.4, curveness: 0.2 } }, data: formtGCData(geoCoordMap, data, pathname, false) }, { type: 'effectScatter', coordinateSystem: 'geo', zlevel: 2, rippleEffect: { period: 4, scale: 2.5, brushType: 'stroke' }, label: { normal: { show: true, position: 'right', formatter: '{b}' } }, symbolSize: 5, itemStyle: { normal: { shadowColor: 'rgba(0, 0, 0, 0.5)', shadowBlur: 20, color: '#EFEFEF', fontWeight: 400, borderColor: '#FFF' } }, data: formtVData(geoCoordMap, data, pathname) }] }; myChart.setOption(option); });