var dataMaps = [
{ name: '北京', value: 0 },
{ name: '天津', value: 0 },
{ name: '河北', value: 0 },
{ name: '山西', value: 0 },
{ name: '内蒙古', value: 0 },
{ name: '辽宁', value: 0 },
{ name: '吉林', value: 0 },
{ name: '黑龙江', value: 0 },
{ name: '上海', value: 0 },
{ name: '江苏', value: 0 },
{ name: '浙江', value: 0 },
{ name: '安徽', value: 0 },
{ name: '福建', value: 0 },
{ name: '江西', value: 0 },
{ name: '山东', value: 0 },
{ name: '河南', value: 0 },
{ name: '湖北', value: 0 },
{ name: '湖南', value: 0 },
{ name: '重庆', value: 0 },
{ name: '四川', value: 0 },
{ name: '贵州', value: 0 },
{ name: '云南', value: 0 },
{ name: '西藏', value: 0 },
{ name: '陕西', value: 0 },
{ name: '甘肃', value: 0 },
{ name: '青海', value: 0 },
{ name: '宁夏', value: 0 },
{ name: '新疆', value: 0 },
{ name: '广东', value: 0 },
{ name: '广西', value: 0 },
{ name: '海南', value: 0 },
{ name: '台湾', value: 0 },
];
dataMaps.forEach((item) => {
let d = (Math.random() * 300).toFixed(0);
item.value = d;
item.height = d / 100;
return item;
});
console.log(dataMaps);
let geoCoordMap = {
海门: [121.15, 31.89],
鄂尔多斯: [109.781327, 39.608266],
招远: [120.38, 37.35],
舟山: [122.207216, 29.985295],
齐齐哈尔: [123.97, 47.33],
盐城: [120.13, 33.38],
赤峰: [118.87, 42.28],
青岛: [120.33, 36.07],
乳山: [121.52, 36.89],
金昌: [102.188043, 38.520089],
泉州: [118.58, 24.93],
莱西: [120.53, 36.86],
日照: [119.46, 35.42],
胶南: [119.97, 35.88],
南通: [121.05, 32.08],
拉萨: [91.11, 29.97],
云浮: [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],
厦门: [118.1, 24.46],
汕尾: [115.375279, 22.786211],
潮州: [116.63, 23.68],
丹东: [124.37, 40.13],
太仓: [121.1, 31.45],
曲靖: [103.79, 25.51],
烟台: [121.39, 37.52],
福州: [119.3, 26.08],
瓦房店: [121.979603, 39.627114],
即墨: [120.45, 36.38],
抚顺: [123.97, 41.97],
玉溪: [102.52, 24.35],
张家口: [114.87, 40.82],
阳泉: [113.57, 37.85],
莱州: [119.942327, 37.177017],
湖州: [120.1, 30.86],
汕头: [116.69, 23.39],
昆山: [120.95, 31.39],
宁波: [121.56, 29.86],
湛江: [110.359377, 21.270708],
揭阳: [116.35, 23.55],
荣成: [122.41, 37.16],
连云港: [119.16, 34.59],
葫芦岛: [120.836932, 40.711052],
常熟: [120.74, 31.64],
东莞: [113.75, 23.04],
河源: [114.68, 23.73],
淮安: [119.15, 33.5],
泰州: [119.9, 32.49],
南宁: [108.33, 22.84],
营口: [122.18, 40.65],
惠州: [114.4, 23.09],
江阴: [120.26, 31.91],
蓬莱: [120.75, 37.8],
韶关: [113.62, 24.84],
嘉峪关: [98.289152, 39.77313],
广州: [113.23, 23.16],
延安: [109.47, 36.6],
太原: [112.53, 37.87],
清远: [113.01, 23.7],
中山: [113.38, 22.52],
昆明: [102.73, 25.04],
寿光: [118.73, 36.86],
海南: [118.73, 36.86],
};
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),
});
}
}
console.log(res);
return res;
};
option = {
tooltip: {
show: true,
},
visualMap: {
show: true,
min: 0,
max: 200,
left: 'left',
bottom: '8%',
text: ['高', '低'], // 文本，默认为数值文本
// calculable: true,
// seriesIndex: [1],
showLabel: true,
pieces: [
{
gt: 200,
label: '> 200 亿千瓦时',
color: '#5B5A86',
},
{
gt: 100,
lte: 200,
label: '100 - 200 亿千瓦时',
color: '#B9D6B5',
},
{
gt: 10,
lte: 100,
label: '10 - 100 亿千瓦时',
color: '#CBD0D3',
},
{
gt: 0,
lte: 10,
label: '≤10 亿千瓦时',
color: '#EDEAD3',
},
],
// inRange: {
// color: ['#EDEAD3', '#5B5A86'] // 蓝绿
// }
},
geo3D: {
map: 'china',
roam: true,
regionHeight: 0,
//shading: 'lambert',
// light: { //光照阴影
// main: {
// color: '#fff', //光照颜色
// intensity: 1.2, //光照强度
// //shadowQuality: 'high', //阴影亮度
// shadow: true, //是否显示阴影
// alpha:55,
// beta:10
// },
// ambient: {
// intensity: 0.3
// }
// }
},
series: [
//柱状图
{
name: '发电量',
type: 'bar3D',
coordinateSystem: 'geo3D',
barSize: 0.5, //柱子粗细
shading: 'lambert',
opacity: 1,
bevelSize: 0.2,
label: {
show: false,
formatter: '{b}',
},
data: [{ name: '黑龙江', value: [125.03, 46.58, 156] }],
},
{
type: 'map3D',
map: 'china',
itemStyle: {
areaColor: '#374151',// 地图配色
// areaColor: 'rgba(10, 133, 171, 0.8)',
opacity: 1,
borderWidth: 0.4,
borderColor: '#00FFF8', // 地图边配色
},
data: dataMaps,
},
],
};