高德加柱图

描述:当前是关于Echarts图表中的 示例。
 
            var data = [
   { name: '海门', value: 9 },
   { name: '鄂尔多斯', value: 12 },
   { name: '招远', value: 12 },
   { name: '舟山', value: 12 },
   { name: '齐齐哈尔', value: 14 },
   { name: '盐城', value: 15 },
   { name: '赤峰', value: 16 },
   { name: '青岛', value: 18 },
   { name: '乳山', value: 18 },
   { name: '金昌', value: 19 },
   { name: '泉州', value: 21 },
   { name: '莱西', value: 21 },
   { name: '日照', value: 21 },
   { name: '胶南', value: 22 },
   { name: '南通', value: 23 },
   { name: '拉萨', value: 24 },
   { name: '云浮', value: 24 },
   { name: '梅州', value: 25 },
   { name: '文登', value: 25 },
   { name: '上海', value: 25 },
   { name: '攀枝花', value: 25 },
   { name: '威海', value: 25 },
   { name: '承德', value: 25 },
   { name: '厦门', value: 26 },
   { name: '汕尾', value: 26 },
   { name: '潮州', value: 26 },
   { name: '丹东', value: 27 },
   { name: '太仓', value: 27 },
   { name: '曲靖', value: 27 },
   { name: '烟台', value: 28 },
   { name: '福州', value: 29 },
   { name: '瓦房店', value: 30 },
   { name: '即墨', value: 30 },
   { name: '抚顺', value: 31 },
   { name: '玉溪', value: 31 },
   { name: '张家口', value: 31 },
   { name: '阳泉', value: 31 },
   { name: '莱州', value: 32 },
   { name: '湖州', value: 32 },
   { name: '汕头', value: 32 },
   { name: '昆山', value: 33 },
   { name: '宁波', value: 33 },
   { name: '湛江', value: 33 },
   { name: '揭阳', value: 34 },
   { name: '荣成', value: 34 },
   { name: '连云港', value: 35 },
   { name: '葫芦岛', value: 35 },
   { name: '常熟', value: 36 },
   { name: '东莞', value: 36 },
   { name: '河源', value: 36 },
   { name: '淮安', value: 36 },
   { name: '泰州', value: 36 },
   { name: '南宁', value: 37 },
   { name: '营口', value: 37 },
   { name: '惠州', value: 37 },
   { name: '江阴', value: 37 },
   { name: '蓬莱', value: 37 },
   { name: '韶关', value: 38 },
   { name: '嘉峪关', value: 38 },
   { name: '广州', value: 38 },
   { name: '延安', value: 38 },
   { name: '太原', value: 39 },
   { name: '清远', value: 39 },
   { name: '中山', value: 39 },
   { name: '昆明', value: 39 },
   { name: '寿光', value: 40 },
   { name: '盘锦', value: 40 },
   { name: '长治', value: 41 },
   { name: '深圳', value: 41 },
   { name: '珠海', value: 42 },
   { name: '宿迁', value: 43 },
   { name: '咸阳', value: 43 },
   { name: '铜川', value: 44 },
   { name: '平度', value: 44 },
   { name: '佛山', value: 44 },
   { name: '海口', value: 44 },
   { name: '江门', value: 45 },
   { name: '章丘', value: 45 },
   { name: '肇庆', value: 46 },
   { name: '大连', value: 47 },
   { name: '临汾', value: 47 },
   { name: '吴江', value: 47 },
   { name: '石嘴山', value: 49 },
   { name: '沈阳', value: 50 },
   { name: '苏州', value: 50 },
   { name: '茂名', value: 50 },
   { name: '嘉兴', value: 51 },
   { name: '长春', value: 51 },
   { name: '胶州', value: 52 },
   { name: '银川', value: 52 },
   { name: '张家港', value: 52 },
   { name: '三门峡', value: 53 },
   { name: '锦州', value: 54 },
   { name: '南昌', value: 54 },
   { name: '柳州', value: 54 },
   { name: '三亚', value: 54 },
   { name: '自贡', value: 56 },
   { name: '吉林', value: 56 },
   { name: '阳江', value: 57 },
   { name: '泸州', value: 57 },
   { name: '西宁', value: 57 },
   { name: '宜宾', value: 58 },
   { name: '呼和浩特', value: 58 },
   { name: '成都', value: 58 },
   { name: '大同', value: 58 },
   { name: '镇江', value: 59 },
   { name: '桂林', value: 59 },
   { name: '张家界', value: 59 },
   { name: '宜兴', value: 59 },
   { name: '北海', value: 60 },
   { name: '西安', value: 61 },
   { name: '金坛', value: 62 },
   { name: '东营', value: 62 },
   { name: '牡丹江', value: 63 },
   { name: '遵义', value: 63 },
   { name: '绍兴', value: 63 },
   { name: '扬州', value: 64 },
   { name: '常州', value: 64 },
   { name: '潍坊', value: 65 },
   { name: '重庆', value: 66 },
   { name: '台州', value: 67 },
   { name: '南京', value: 67 },
   { name: '滨州', value: 70 },
   { name: '贵阳', value: 71 },
   { name: '无锡', value: 71 },
   { name: '本溪', value: 71 },
   { name: '克拉玛依', value: 72 },
   { name: '渭南', value: 72 },
   { name: '马鞍山', value: 72 },
   { name: '宝鸡', value: 72 },
   { name: '焦作', value: 75 },
   { name: '句容', value: 75 },
   { name: '北京', value: 79 },
   { name: '徐州', value: 79 },
   { name: '衡水', value: 80 },
   { name: '包头', value: 80 },
   { name: '绵阳', value: 80 },
   { name: '乌鲁木齐', value: 84 },
   { name: '枣庄', value: 84 },
   { name: '杭州', value: 84 },
   { name: '淄博', value: 85 },
   { name: '鞍山', value: 86 },
   { name: '溧阳', value: 86 },
   { name: '库尔勒', value: 86 },
   { name: '安阳', value: 90 },
   { name: '开封', value: 90 },
   { name: '济南', value: 92 },
   { name: '德阳', value: 93 },
   { name: '温州', value: 95 },
   { name: '九江', value: 96 },
   { name: '邯郸', value: 98 },
   { name: '临安', value: 99 },
   { name: '兰州', value: 99 },
   { name: '沧州', value: 100 },
   { name: '临沂', value: 103 },
   { name: '南充', value: 104 },
   { name: '天津', value: 105 },
   { name: '富阳', value: 106 },
   { name: '泰安', value: 112 },
   { name: '诸暨', value: 112 },
   { name: '郑州', value: 113 },
   { name: '哈尔滨', value: 114 },
   { name: '聊城', value: 116 },
   { name: '芜湖', value: 117 },
   { name: '唐山', value: 119 },
   { name: '平顶山', value: 119 },
   { name: '邢台', value: 119 },
   { name: '德州', value: 120 },
   { name: '济宁', value: 120 },
   { name: '荆州', value: 127 },
   { name: '宜昌', value: 130 },
   { name: '义乌', value: 132 },
   { name: '丽水', value: 133 },
   { name: '洛阳', value: 134 },
   { name: '秦皇岛', value: 136 },
   { name: '株洲', value: 143 },
   { name: '石家庄', value: 147 },
   { name: '莱芜', value: 148 },
   { name: '常德', value: 152 },
   { name: '保定', value: 153 },
   { name: '湘潭', value: 154 },
   { name: '金华', value: 157 },
   { name: '岳阳', value: 169 },
   { name: '长沙', value: 175 },
   { name: '衢州', value: 177 },
   { name: '廊坊', value: 193 },
   { name: '菏泽', value: 194 },
   { name: '合肥', value: 229 },
   { name: '武汉', value: 273 },
   { name: '大庆', value: 279 }
];
//数据纯属虚构
var dataQ = [{
        name: '广州',
        value: 5.3
    },
    {
        name: '深圳',
        value: 3.8
    },
    {
        name: '珠海',
        value: 4.6
    },
    {
        name: '汕头',
        value: 3.6
    },
    {
        name: '佛山',
        value: 3.4
    },
    {
        name: '韶关',
        value: 3.2
    },
    {
        name: '湛江',
        value: 1.6
    },
    {
        name: '肇庆',
        value: 4.3
    },
    {
        name: '江门',
        value: 4.1
    },
    {
        name: '茂名',
        value: 2.4
    },
    {
        name: '惠州',
        value: 3.3
    },
    {
        name: '梅州',
        value: 3.0
    },
    {
        name: '汕尾',
        value: 1
    },
    {
        name: '河源',
        value: 3.9
    },
    {
        name: '阳江',
        value: 3.5
    },
    {
        name: '清远',
        value: 2.0
    },
    {
        name: '东莞',
        value: 2.1
    },
    {
        name: '中山',
        value: 3.0
    },
    {
        name: '潮州',
        value: 1.2
    },
    {
        name: '揭阳',
        value: 3.2
    },
    {
        name: '云浮',
        value: 3.5
    }
];

var yData = [];

dataQ.sort(function(o1, o2) {
    if (isNaN(o1.value) || o1.value == null) return -1;
    if (isNaN(o2.value) || o2.value == null) return 1;
    return o1.value - o2.value;
});

for (var i = 0; i < dataQ.length; i++) {
    yData.push(dataQ[i].name);
}
var 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],
   '盘锦': [122.070714, 41.119997],
   '长治': [113.08, 36.18],
   '深圳': [114.07, 22.62],
   '珠海': [113.52, 22.3],
   '宿迁': [118.3, 33.96],
   '咸阳': [108.72, 34.36],
   '铜川': [109.11, 35.09],
   '平度': [119.97, 36.77],
   '佛山': [113.11, 23.05],
   '海口': [110.35, 20.02],
   '江门': [113.06, 22.61],
   '章丘': [117.53, 36.72],
   '肇庆': [112.44, 23.05],
   '大连': [121.62, 38.92],
   '临汾': [111.5, 36.08],
   '吴江': [120.63, 31.16],
   '石嘴山': [106.39, 39.04],
   '沈阳': [123.38, 41.8],
   '苏州': [120.62, 31.32],
   '茂名': [110.88, 21.68],
   '嘉兴': [120.76, 30.77],
   '长春': [125.35, 43.88],
   '胶州': [120.03336, 36.264622],
   '银川': [106.27, 38.47],
   '张家港': [120.555821, 31.875428],
   '三门峡': [111.19, 34.76],
   '锦州': [121.15, 41.13],
   '南昌': [115.89, 28.68],
   '柳州': [109.4, 24.33],
   '三亚': [109.511909, 18.252847],
   '自贡': [104.778442, 29.33903],
   '吉林': [126.57, 43.87],
   '阳江': [111.95, 21.85],
   '泸州': [105.39, 28.91],
   '西宁': [101.74, 36.56],
   '宜宾': [104.56, 29.77],
   '呼和浩特': [111.65, 40.82],
   '成都': [104.06, 30.67],
   '大同': [113.3, 40.12],
   '镇江': [119.44, 32.2],
   '桂林': [110.28, 25.29],
   '张家界': [110.479191, 29.117096],
   '宜兴': [119.82, 31.36],
   '北海': [109.12, 21.49],
   '西安': [108.95, 34.27],
   '金坛': [119.56, 31.74],
   '东营': [118.49, 37.46],
   '牡丹江': [129.58, 44.6],
   '遵义': [106.9, 27.7],
   '绍兴': [120.58, 30.01],
   '扬州': [119.42, 32.39],
   '常州': [119.95, 31.79],
   '潍坊': [119.1, 36.62],
   '重庆': [106.54, 29.59],
   '台州': [121.420757, 28.656386],
   '南京': [118.78, 32.04],
   '滨州': [118.03, 37.36],
   '贵阳': [106.71, 26.57],
   '无锡': [120.29, 31.59],
   '本溪': [123.73, 41.3],
   '克拉玛依': [84.77, 45.59],
   '渭南': [109.5, 34.52],
   '马鞍山': [118.48, 31.56],
   '宝鸡': [107.15, 34.38],
   '焦作': [113.21, 35.24],
   '句容': [119.16, 31.95],
   '北京': [116.46, 39.92],
   '徐州': [117.2, 34.26],
   '衡水': [115.72, 37.72],
   '包头': [110, 40.58],
   '绵阳': [104.73, 31.48],
   '乌鲁木齐': [87.68, 43.77],
   '枣庄': [117.57, 34.86],
   '杭州': [120.19, 30.26],
   '淄博': [118.05, 36.78],
   '鞍山': [122.85, 41.12],
   '溧阳': [119.48, 31.43],
   '库尔勒': [86.06, 41.68],
   '安阳': [114.35, 36.1],
   '开封': [114.35, 34.79],
   '济南': [117, 36.65],
   '德阳': [104.37, 31.13],
   '温州': [120.65, 28.01],
   '九江': [115.97, 29.71],
   '邯郸': [114.47, 36.6],
   '临安': [119.72, 30.23],
   '兰州': [103.73, 36.03],
   '沧州': [116.83, 38.33],
   '临沂': [118.35, 35.05],
   '南充': [106.110698, 30.837793],
   '天津': [117.2, 39.13],
   '富阳': [119.95, 30.07],
   '泰安': [117.13, 36.18],
   '诸暨': [120.23, 29.71],
   '郑州': [113.65, 34.76],
   '哈尔滨': [126.63, 45.75],
   '聊城': [115.97, 36.45],
   '芜湖': [118.38, 31.33],
   '唐山': [118.02, 39.63],
   '平顶山': [113.29, 33.75],
   '邢台': [114.48, 37.05],
   '德州': [116.29, 37.45],
   '济宁': [116.59, 35.38],
   '荆州': [112.239741, 30.335165],
   '宜昌': [111.3, 30.7],
   '义乌': [120.06, 29.32],
   '丽水': [119.92, 28.45],
   '洛阳': [112.44, 34.7],
   '秦皇岛': [119.57, 39.95],
   '株洲': [113.16, 27.83],
   '石家庄': [114.48, 38.03],
   '莱芜': [117.67, 36.19],
   '常德': [111.69, 29.05],
   '保定': [115.48, 38.85],
   '湘潭': [112.91, 27.87],
   '金华': [119.64, 29.12],
   '岳阳': [113.09, 29.37],
   '长沙': [113, 28.21],
   '衢州': [118.88, 28.97],
   '廊坊': [116.7, 39.53],
   '菏泽': [115.480656, 35.23375],
   '合肥': [117.27, 31.86],
   '武汉': [114.31, 30.52],
   '大庆': [125.03, 46.58]
};

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)
         });
      }
   }
   return res;
};

option = {
     grid: {
        right: -160,
        top: 80,
        bottom: 30,
        width: '40%'
    },
   xAxis: {
        type: 'value',
        scale: true,
        position: 'top',
        splitNumber: 1,
        boundaryGap: false,
        splitLine: {
            show: false
        },
        axisLine: {
            show: false
        },
        axisTick: {
            show: false
        },
        axisLabel: {
            margin: 2,
            textStyle: {
                color: '#aaa'
            }
        }
    },
    yAxis: {
        type: 'category',
        nameGap: 16,
        axisLine: {
            show: false,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisTick: {
            show: false,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisLabel: {
            interval: 0,
            textStyle: {
                color: '#999'
            }
        },
        data: yData
    },
   amap: {
      viewMode: '3D',
      center: [108.39, 39.9],
      zoom: 4,
      resizeEnable: true,
      //使用自定义主题
      mapStyle: 'amap://styles/be3f047a53eeb52ba0475265811761e7',
      renderOnMoving: true,
      echartsLayerInteractive: 2000,
      echartsLayerInteractive: true,
      largeMode: false

   },
   tooltip: {
      trigger: 'item'
   },
   animation: true,
   series: [
       {
        name: 'barSer',
        type: 'bar',
        roam: false,
        visualMap: false,
        zlevel: 2,
        position:'right',
        barMaxWidth: 20,
        itemStyle: {
            normal: {
                color: '#40a9ed'
            },
            emphasis: {
                color: "#3596c0"
            }
        },
        label: {
            normal: {
                show: false,
                position: 'right',
                offset: [0, 10]
            },
            emphasis: {
                show: true,
                position: 'right',
                offset: [10, 0]
            }
        },
        data: dataQ
    },
      {
         name: 'PM2.5',
         type: 'scatter',
         coordinateSystem: 'amap',
         data: convertData(data),
         symbolSize: function (val) {
            return val[2] / 10;
         },
         encode: {
            value: 2
         },
         label: {
            formatter: '{b}',
            position: 'right',
            show: false
         },
         itemStyle: {
            normal: {
               color: '#00c1de'
            }
         },
         emphasis: {
            label: {
               show: true
            }
         }
      },
      {
         name: 'Top 5',
         type: 'effectScatter',
         coordinateSystem: 'amap',
         data: convertData(data.sort(function (a, b) {
            return b.value - a.value;
         }).slice(0, 6)),
         symbolSize: function (val) {
            return val[2] / 10;
         },
         encode: {
            value: 2
         },
         showEffectOn: 'render',
         rippleEffect: {
            brushType: 'stroke'
         },
         hoverAnimation: true,
         label: {
            formatter: '{b}',
            position: 'right',
            show: true
         },
         itemStyle: {
            color: '#fff',
            shadowBlur: 10,
            shadowColor: '#333'
         },
         zlevel: 1
      }
   ]
};
myChart.setOption(option);
//var amapComponent = myChart.getModel().getComponent('amap');
//var amap = amapComponent.getAMap();