粉丝分布ECharts Gallery

20:11:45图表已生成
代码
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 data = [
            {name:'七台河', value: 9},
            {name:'三亚', value: 74},
            {name:'三明', value: 79},
            {name:'三门峡', value: 50},
            {name:'上海', value: 2623},
            {name:'上饶', value: 125},
            {name:'东莞', value: 445},
            {name:'东营', value: 87},
            {name:'中卫', value: 5},
            {name:'中山', value: 187},
            {name:'中西区', value: 29},
            {name:'临夏', value: 7},
            {name:'临汾', value: 92},
            {name:'临沂', value: 263},
            {name:'临沧', value: 26},
            {name:'丹东', value: 67},
            {name:'丹麦', value: 14},
            {name:'丽水', value: 117},
            {name:'丽江', value: 51},
            {name:'乌克兰', value: 1},
            {name:'乌兰察布市', value: 19},
            {name:'乌海', value: 15},
            {name:'乌鲁木齐', value: 157},
            {name:'乐山', value: 79},
            {name:'九江', value: 165},
            {name:'九龙城区', value: 11},
            {name:'云浮', value: 31},
            {name:'亳州', value: 60},
            {name:'仙桃', value: 5},
            {name:'伊春', value: 10},
            {name:'伊朗', value: 1},
            {name:'伊犁', value: 31},
            {name:'佛山', value: 394},
            {name:'佳木斯', value: 37},
            {name:'俄罗斯', value: 35},
            {name:'保定', value: 235},
            {name:'保山', value: 27},
            {name:'信阳', value: 140},
            {name:'元朗区', value: 4},
            {name:'克孜勒苏', value: 3},
            {name:'克拉玛依', value: 20},
            {name:'克罗地亚', value: 2},
            {name:'六安', value: 69},
            {name:'六盘水', value: 35},
            {name:'兰州', value: 214},
            {name:'兴安盟', value: 14},
            {name:'其他', value: 996},
            {name:'内江', value: 37},
            {name:'凉山', value: 25},
            {name:'加拿大', value: 144},
            {name:'包头', value: 91},
            {name:'匈牙利', value: 2},
            {name:'北京', value: 3969},
            {name:'北区', value: 1},
            {name:'北海', value: 45},
            {name:'十堰', value: 94},
            {name:'南京', value: 1240},
            {name:'南充', value: 104},
            {name:'南区', value: 2},
            {name:'南宁', value: 536},
            {name:'南平', value: 92},
            {name:'南投县', value: 1},
            {name:'南昌', value: 488},
            {name:'南通', value: 309},
            {name:'南阳', value: 114},
            {name:'南非', value: 1},
            {name:'博尔塔拉', value: 9},
            {name:'卢森堡', value: 1},
            {name:'印尼', value: 13},
            {name:'印度', value: 4},
            {name:'厦门', value: 598},
            {name:'双鸭山', value: 15},
            {name:'古巴', value: 2},
            {name:'台中市', value: 1},
            {name:'台北市', value: 81},
            {name:'台南县', value: 1},
            {name:'台南市', value: 1},
            {name:'台州', value: 324},
            {name:'合肥', value: 693},
            {name:'吉安', value: 72},
            {name:'吉林', value: 85},
            {name:'吐鲁番', value: 7},
            {name:'吕梁', value: 59},
            {name:'吴忠', value: 20},
            {name:'周口', value: 78},
            {name:'呼伦贝尔', value: 47},
            {name:'呼和浩特', value: 166},
            {name:'和田', value: 2},
            {name:'咸宁', value: 44},
            {name:'咸阳', value: 67},
            {name:'哈密', value: 12},
            {name:'哈尔滨', value: 451},
            {name:'唐山', value: 227},
            {name:'商丘', value: 115},
            {name:'商洛', value: 15},
            {name:'喀什', value: 12},
            {name:'嘉兴', value: 330},
            {name:'嘉峪关', value: 8},
            {name:'四平', value: 34},
            {name:'固原', value: 15},
            {name:'土耳其', value: 3},
            {name:'圣安多尼堂区', value: 6},
            {name:'埃及', value: 4},
            {name:'塔城', value: 14},
            {name:'塞浦路斯', value: 1},
            {name:'大兴安岭', value: 4},
            {name:'大同', value: 90},
            {name:'大堂区', value: 1},
            {name:'大庆', value: 84},
            {name:'大理', value: 89},
            {name:'大连', value: 431},
            {name:'天水', value: 36},
            {name:'天津', value: 930},
            {name:'天门', value: 5},
            {name:'太原', value: 398},
            {name:'奥地利', value: 4},
            {name:'威海', value: 113},
            {name:'娄底', value: 56},
            {name:'孝感', value: 78},
            {name:'宁德', value: 84},
            {name:'宁波', value: 678},
            {name:'安庆', value: 99},
            {name:'安康', value: 33},
            {name:'安阳', value: 94},
            {name:'安顺', value: 20},
            {name:'定西', value: 19},
            {name:'宜宾', value: 64},
            {name:'宜昌', value: 155},
            {name:'宜春', value: 99},
            {name:'宝鸡', value: 66},
            {name:'宣城', value: 61},
            {name:'宿州', value: 83},
            {name:'宿迁', value: 91},
            {name:'屯门区', value: 2},
            {name:'山南', value: 8},
            {name:'岳阳', value: 132},
            {name:'崇左', value: 4},
            {name:'巢湖', value: 14},
            {name:'巴中', value: 32},
            {name:'巴彦淖尔盟', value: 24},
            {name:'巴西', value: 13},
            {name:'巴音郭楞', value: 10},
            {name:'希腊', value: 14},
            {name:'常州', value: 327},
            {name:'常德', value: 98},
            {name:'平凉', value: 22},
            {name:'平顶山', value: 94},
            {name:'广元', value: 49},
            {name:'广安', value: 39},
            {name:'广州', value: 1888},
            {name:'庆阳', value: 27},
            {name:'廊坊', value: 131},
            {name:'延安', value: 44},
            {name:'延边朝鲜族自治州', value: 31},
            {name:'开封', value: 93},
            {name:'张家口', value: 89},
            {name:'张家界', value: 41},
            {name:'张掖', value: 16},
            {name:'徐州', value: 279},
            {name:'德国', value: 18},
            {name:'德宏', value: 19},
            {name:'德州', value: 74},
            {name:'德阳', value: 88},
            {name:'忻州', value: 57},
            {name:'怀化', value: 67},
            {name:'怒江', value: 7},
            {name:'恩施土家族苗族自治州', value: 57},
            {name:'惠州', value: 216},
            {name:'意大利', value: 22},
            {name:'成都', value: 1626},
            {name:'扬州', value: 255},
            {name:'承德', value: 62},
            {name:'抚州', value: 58},
            {name:'抚顺', value: 39},
            {name:'拉萨', value: 49},
            {name:'挪威', value: 11},
            {name:'捷克', value: 1},
            {name:'揭阳', value: 194},
            {name:'攀枝花', value: 34},
            {name:'文山', value: 23},
            {name:'斯洛伐克', value: 1},
            {name:'斯洛文尼亚', value: 4},
            {name:'新乡', value: 154},
            {name:'新余', value: 35},
            {name:'新加坡', value: 94},
            {name:'新北市', value: 1},
            {name:'新竹市', value: 2},
            {name:'新西兰', value: 29},
            {name:'无锡', value: 478},
            {name:'日喀则', value: 7},
            {name:'日本', value: 148},
            {name:'日照', value: 106},
            {name:'昆明', value: 485},
            {name:'昌吉', value: 16},
            {name:'昌都', value: 4},
            {name:'昭通', value: 27},
            {name:'晋中', value: 79},
            {name:'晋城', value: 85},
            {name:'普洱', value: 37},
            {name:'景德镇', value: 56},
            {name:'曲靖', value: 50},
            {name:'朔州', value: 29},
            {name:'朝阳', value: 35},
            {name:'本溪', value: 24},
            {name:'来宾', value: 7},
            {name:'杭州', value: 1510},
            {name:'松原', value: 26},
            {name:'林芝', value: 10},
            {name:'果洛', value: 5},
            {name:'枣庄', value: 88},
            {name:'柳州', value: 154},
            {name:'株洲', value: 100},
            {name:'桂林', value: 184},
            {name:'桃园县', value: 1},
            {name:'梅州', value: 113},
            {name:'梧州', value: 51},
            {name:'楚雄', value: 28},
            {name:'榆林', value: 88},
            {name:'武威', value: 16},
            {name:'武汉', value: 1390},
            {name:'比利时', value: 2},
            {name:'毕节', value: 25},
            {name:'永州', value: 73},
            {name:'氹仔', value: 3},
            {name:'汉中', value: 36},
            {name:'汕头', value: 291},
            {name:'汕尾', value: 45},
            {name:'江门', value: 172},
            {name:'池州', value: 44},
            {name:'沈阳', value: 554},
            {name:'沙特阿拉伯', value: 12},
            {name:'沙田区', value: 3},
            {name:'沧州', value: 124},
            {name:'河池', value: 47},
            {name:'河源', value: 66},
            {name:'油尖旺区', value: 2},
            {name:'泉州', value: 439},
            {name:'法国', value: 153},
            {name:'泰国', value: 34},
            {name:'泰安', value: 133},
            {name:'泰州', value: 113},
            {name:'泸州', value: 78},
            {name:'洛阳', value: 275},
            {name:'济南', value: 726},
            {name:'济宁', value: 188},
            {name:'济源', value: 15},
            {name:'海东', value: 10},
            {name:'海北', value: 4},
            {name:'海南', value: 6},
            {name:'海口', value: 228},
            {name:'海西', value: 7},
            {name:'淄博', value: 198},
            {name:'淮北', value: 41},
            {name:'淮南', value: 67},
            {name:'淮安', value: 128},
            {name:'深圳', value: 1370},
            {name:'深水埗区', value: 4},
            {name:'清远', value: 87},
            {name:'温州', value: 649},
            {name:'渭南', value: 52},
            {name:'湖州', value: 146},
            {name:'湘潭', value: 90},
            {name:'湘西土家族苗族自治州', value: 28},
            {name:'湛江', value: 125},
            {name:'湾仔区', value: 3},
            {name:'滁州', value: 93},
            {name:'滨州', value: 76},
            {name:'漯河', value: 43},
            {name:'漳州', value: 169},
            {name:'潍坊', value: 259},
            {name:'潜江', value: 10},
            {name:'潮州', value: 108},
            {name:'澳大利亚', value: 235},
            {name:'濮阳', value: 86},
            {name:'烟台', value: 293},
            {name:'焦作', value: 117},
            {name:'爱尔兰', value: 16},
            {name:'牡丹江', value: 43},
            {name:'玉林', value: 66},
            {name:'玉树', value: 3},
            {name:'玉溪', value: 50},
            {name:'珠海', value: 203},
            {name:'瑞典', value: 10},
            {name:'瑞士', value: 11},
            {name:'甘南', value: 3},
            {name:'甘孜', value: 12},
            {name:'白城', value: 26},
            {name:'白山', value: 17},
            {name:'白银', value: 19},
            {name:'百色', value: 68},
            {name:'益阳', value: 44},
            {name:'盐城', value: 176},
            {name:'盘锦', value: 46},
            {name:'眉山', value: 43},
            {name:'石嘴山', value: 17},
            {name:'石家庄', value: 566},
            {name:'石河子', value: 8},
            {name:'神农架', value: 3},
            {name:'福州', value: 701},
            {name:'离岛区', value: 1},
            {name:'秦皇岛', value: 140},
            {name:'立陶宛', value: 1},
            {name:'红河', value: 49},
            {name:'绍兴', value: 297},
            {name:'绥化', value: 20},
            {name:'绵阳', value: 118},
            {name:'美国', value: 415},
            {name:'聊城', value: 60},
            {name:'肇庆', value: 102},
            {name:'自贡', value: 57},
            {name:'舟山', value: 82},
            {name:'芜湖', value: 164},
            {name:'芬兰', value: 10},
            {name:'花地玛堂区', value: 6},
            {name:'花莲县', value: 1},
            {name:'苏州', value: 988},
            {name:'苗栗县', value: 1},
            {name:'英国', value: 206},
            {name:'茂名', value: 88},
            {name:'荃湾区', value: 1},
            {name:'荆州', value: 100},
            {name:'荆门', value: 67},
            {name:'荷兰', value: 10},
            {name:'莆田', value: 116},
            {name:'莱芜', value: 31},
            {name:'菏泽', value: 97},
            {name:'菲律宾', value: 11},
            {name:'萍乡', value: 53},
            {name:'营口', value: 44},
            {name:'葡萄牙', value: 3},
            {name:'葫芦岛', value: 44},
            {name:'葵青区', value: 2},
            {name:'蒙古', value: 2},
            {name:'蚌埠', value: 99},
            {name:'衡水', value: 57},
            {name:'衡阳', value: 147},
            {name:'衢州', value: 107},
            {name:'襄阳', value: 101},
            {name:'西双版纳', value: 28},
            {name:'西宁', value: 69},
            {name:'西安', value: 1046},
            {name:'西班牙', value: 12},
            {name:'西贡区', value: 2},
            {name:'观塘区', value: 1},
            {name:'许昌', value: 90},
            {name:'贵港', value: 34},
            {name:'贵阳', value: 260},
            {name:'贺州', value: 17},
            {name:'资阳', value: 25},
            {name:'赣州', value: 195},
            {name:'赤峰', value: 75},
            {name:'越南', value: 8},
            {name:'路环', value: 1},
            {name:'辽源', value: 14},
            {name:'辽阳', value: 21},
            {name:'达州', value: 70},
            {name:'运城', value: 127},
            {name:'连云港', value: 138},
            {name:'迪庆', value: 3},
            {name:'通化', value: 48},
            {name:'通辽', value: 62},
            {name:'遂宁', value: 47},
            {name:'遵义', value: 110},
            {name:'邢台', value: 135},
            {name:'那曲', value: 2},
            {name:'邯郸', value: 186},
            {name:'邵阳', value: 84},
            {name:'郑州', value: 1021},
            {name:'郴州', value: 81},
            {name:'鄂尔多斯', value: 60},
            {name:'鄂州', value: 19},
            {name:'酒泉', value: 18},
            {name:'重庆', value: 1529},
            {name:'金华', value: 378},
            {name:'金昌', value: 9},
            {name:'钦州', value: 38},
            {name:'铁岭', value: 35},
            {name:'铜仁', value: 29},
            {name:'铜川', value: 15},
            {name:'铜陵', value: 37},
            {name:'银川', value: 143},
            {name:'锡林郭勒盟', value: 26},
            {name:'锦州', value: 64},
            {name:'镇江', value: 139},
            {name:'长春', value: 432},
            {name:'长沙', value: 1149},
            {name:'长治', value: 76},
            {name:'阜新', value: 37},
            {name:'阜阳', value: 127},
            {name:'防城港', value: 13},
            {name:'阳江', value: 60},
            {name:'阳泉', value: 42},
            {name:'阿克苏', value: 16},
            {name:'阿勒泰', value: 13},
            {name:'阿坝', value: 11},
            {name:'阿拉善盟', value: 7},
            {name:'阿根廷', value: 2},
            {name:'阿里', value: 6},
            {name:'陇南', value: 21},
            {name:'随州', value: 25},
            {name:'雅安', value: 25},
            {name:'青岛', value: 795},
            {name:'鞍山', value: 86},
            {name:'韩国', value: 74},
            {name:'韶关', value: 67},
            {name:'马来西亚', value: 58},
            {name:'马耳他', value: 1},
            {name:'马鞍山', value: 78},
            {name:'驻马店', value: 64},
            {name:'高雄县', value: 1},
            {name:'高雄市', value: 22},
            {name:'鸡西', value: 13},
            {name:'鹤壁', value: 30},
            {name:'鹤岗', value: 16},
            {name:'鹰潭', value: 30},
            {name:'黄冈', value: 59},
            {name:'黄南', value: 3},
            {name:'黄大仙区', value: 2},
            {name:'黄山', value: 56},
            {name:'黄石', value: 54},
            {name:'黑河', value: 20},
            {name:'黔东南', value: 38},
            {name:'黔南', value: 32},
            {name:'黔西南', value: 17},
            {name:'齐齐哈尔', value: 53},
            {name:'龙岩', value: 90},
];
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;
};

var convertedData = [
    convertData(data),
    convertData(data.sort(function (a, b) {
        return b.value - a.value;
    }).slice(0, 6))
];


option = {
    backgroundColor: '#404a59',
    animation: true,
    animationDuration: 1000,
    animationEasing: 'cubicInOut',
    animationDurationUpdate: 1000,
    animationEasingUpdate: 'cubicInOut',
    title: [
        {
            text: '全国主要城市 粉丝分布',
            subtext: 'data from weibo',
            sublink: '',
            left: 'center',
            textStyle: {
                color: '#fff'
            }
        },
        {
            id: 'statistic',
            right: 120,
            top: 40,
            width: 100,
            textStyle: {
                color: '#fff',
                fontSize: 16
            }
        }
    ],
    toolbox: {
        iconStyle: {
            normal: {
                borderColor: '#fff'
            },
            emphasis: {
                borderColor: '#b1e4ff'
            }
        }
    },
    brush: {
        outOfBrush: {
            color: '#abc'
        },
        brushStyle: {
            borderWidth: 2,
            color: 'rgba(0,0,0,0.2)',
            borderColor: 'rgba(0,0,0,0.5)',
        },
        seriesIndex: [0, 1],
        throttleType: 'debounce',
        throttleDelay: 300,
        geoIndex: 0
    },
    geo: {
        map: 'china',
        left: '10',
        right: '35%',
        center: [117.98561551896913, 31.205000490896193],
        zoom: 2.5,
        label: {
            emphasis: {
                show: false
            }
        },
        roam: true,
        itemStyle: {
            normal: {
                areaColor: '#323c48',
                borderColor: '#111'
            },
            emphasis: {
                areaColor: '#2a333d'
            }
        }
    },
    tooltip : {
        trigger: 'item'
    },
    grid: {
        right: 40,
        top: 100,
        bottom: 40,
        width: '30%'
    },
    xAxis: {
        type: 'value',
        scale: true,
        position: 'top',
        boundaryGap: false,
        splitLine: {show: false},
        axisLine: {show: false},
        axisTick: {show: false},
        axisLabel: {margin: 2, textStyle: {color: '#aaa'}},
    },
    yAxis: {
        type: 'category',
        name: 'TOP 20',
        nameGap: 16,
        axisLine: {show: false, lineStyle: {color: '#ddd'}},
        axisTick: {show: false, lineStyle: {color: '#ddd'}},
        axisLabel: {interval: 0, textStyle: {color: '#ddd'}},
        data: []
    },
    series : [
        {
            name: '粉丝数',
            type: 'scatter',
            coordinateSystem: 'geo',
            data: convertedData[0],
            symbolSize: function (val) {
                return Math.max(val[2] / 100, 8);
            },
            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: false
                },
                emphasis: {
                    show: true
                }
            },
            itemStyle: {
                normal: {
                    color: '#ddb926'
                }
            }
        },
        {
            
            name: 'Top 10',
            type: 'effectScatter',
            coordinateSystem: 'geo',
            data: convertData(data.sort(function (a, b) {
                return b.value - a.value;
            }).slice(0, 10)),
            symbolSize: function (val) {
                return val[2]/100;
            },
            showEffectOn: 'render',
            rippleEffect: {
                brushType: 'stroke'
            },
            hoverAnimation: true,
            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: true
                }
            },
            itemStyle: {
                normal: {
                    color: '#f4e925',
                    shadowBlur: 10,
                    shadowColor: '#333'
                }
            },
            zlevel: 1
        },
        {
            id: 'bar',
            zlevel: 2,
            type: 'bar',
            symbol: 'none',
            itemStyle: {
                normal: {
                    color: '#ddb926'
                }
            },
            data: []
        }
    ]
};


myChart.on('brushselected', renderBrushed);

// myChart.setOption(option);

setTimeout(function () {
    myChart.dispatchAction({
        type: 'brush',
        areas: [
            {
                geoIndex: 0,
                brushType: 'polygon',
                coordRange: [[119.72,34.85],[119.68,34.85],[119.5,34.84],[119.19,34.77],[118.76,34.63],[118.6,34.6],[118.46,34.6],[118.33,34.57],[118.05,34.56],[117.6,34.56],[117.41,34.56],[117.25,34.56],[117.11,34.56],[117.02,34.56],[117,34.56],[116.94,34.56],[116.94,34.55],[116.9,34.5],[116.88,34.44],[116.88,34.37],[116.88,34.33],[116.88,34.24],[116.92,34.15],[116.98,34.09],[117.05,34.06],[117.19,33.96],[117.29,33.9],[117.43,33.8],[117.49,33.75],[117.54,33.68],[117.6,33.65],[117.62,33.61],[117.64,33.59],[117.68,33.58],[117.7,33.52],[117.74,33.5],[117.74,33.46],[117.8,33.44],[117.82,33.41],[117.86,33.37],[117.9,33.3],[117.9,33.28],[117.9,33.27],[118.09,32.97],[118.21,32.7],[118.29,32.56],[118.31,32.5],[118.35,32.46],[118.35,32.42],[118.35,32.36],[118.35,32.34],[118.37,32.24],[118.37,32.14],[118.37,32.09],[118.44,32.05],[118.46,32.01],[118.54,31.98],[118.6,31.93],[118.68,31.86],[118.72,31.8],[118.74,31.78],[118.76,31.74],[118.78,31.7],[118.82,31.64],[118.82,31.62],[118.86,31.58],[118.86,31.55],[118.88,31.54],[118.88,31.52],[118.9,31.51],[118.91,31.48],[118.93,31.43],[118.95,31.4],[118.97,31.39],[118.97,31.37],[118.97,31.34],[118.97,31.27],[118.97,31.21],[118.97,31.17],[118.97,31.12],[118.97,31.02],[118.97,30.93],[118.97,30.87],[118.97,30.85],[118.95,30.8],[118.95,30.77],[118.95,30.76],[118.93,30.7],[118.91,30.63],[118.91,30.61],[118.91,30.6],[118.9,30.6],[118.88,30.54],[118.88,30.51],[118.86,30.51],[118.86,30.46],[118.72,30.18],[118.68,30.1],[118.66,30.07],[118.62,29.91],[118.56,29.73],[118.52,29.63],[118.48,29.51],[118.44,29.42],[118.44,29.32],[118.43,29.19],[118.43,29.14],[118.43,29.08],[118.44,29.05],[118.46,29.05],[118.6,28.95],[118.64,28.94],[119.07,28.51],[119.25,28.41],[119.36,28.28],[119.46,28.19],[119.54,28.13],[119.66,28.03],[119.78,28],[119.87,27.94],[120.03,27.86],[120.17,27.79],[120.23,27.76],[120.3,27.72],[120.42,27.66],[120.52,27.64],[120.58,27.63],[120.64,27.63],[120.77,27.63],[120.89,27.61],[120.97,27.6],[121.07,27.59],[121.15,27.59],[121.28,27.59],[121.38,27.61],[121.56,27.73],[121.73,27.89],[122.03,28.2],[122.3,28.5],[122.46,28.72],[122.5,28.77],[122.54,28.82],[122.56,28.82],[122.58,28.85],[122.6,28.86],[122.61,28.91],[122.71,29.02],[122.73,29.08],[122.93,29.44],[122.99,29.54],[123.03,29.66],[123.05,29.73],[123.16,29.92],[123.24,30.02],[123.28,30.13],[123.32,30.29],[123.36,30.36],[123.36,30.55],[123.36,30.74],[123.36,31.05],[123.36,31.14],[123.36,31.26],[123.38,31.42],[123.46,31.74],[123.48,31.83],[123.48,31.95],[123.46,32.09],[123.34,32.25],[123.22,32.39],[123.12,32.46],[123.07,32.48],[123.05,32.49],[122.97,32.53],[122.91,32.59],[122.83,32.81],[122.77,32.87],[122.71,32.9],[122.56,32.97],[122.38,33.05],[122.3,33.12],[122.26,33.15],[122.22,33.21],[122.22,33.3],[122.22,33.39],[122.18,33.44],[122.07,33.56],[121.99,33.69],[121.89,33.78],[121.69,34.02],[121.66,34.05],[121.64,34.08]]
            }
        ]
    });
}, 0);


function renderBrushed(params) {
    var mainSeries = params.batch[0].selected[0];

    var selectedItems = [];
    var categoryData = [];
    var barData = [];
    var maxBar = 1000;
    var sum = 0;
    var count = 0;

    for (var i = 0; i < mainSeries.dataIndex.length; i++) {
        var rawIndex = mainSeries.dataIndex[i];
        var dataItem = convertedData[0][rawIndex];
        var pmValue = dataItem.value[2];

        sum += pmValue;
        count++;

        selectedItems.push(dataItem);
    }

    selectedItems.sort(function (a, b) {
        return a.value[2] - b.value[2];
    });

    for (var i = 0; i < Math.min(selectedItems.length, maxBar); i++) {
        categoryData.push(selectedItems[i].name);
        barData.push(selectedItems[i].value[2]);
    }

    this.setOption({
        yAxis: {
            data: categoryData
        },
        xAxis: {
            axisLabel: {show: !!count}
        },
        title: {
            id: 'statistic',
            text: count ? '平均: ' + (sum / count).toFixed(2) : ''
        },
        series: {
            id: 'bar',
            data: barData
        }
    });
}
作品使用的第三方脚本

数据管理

历史数据 0 条

代码修改记录

信息提示

保存作品
