优化大屏
Administrator
parent
e9d4d61c55
commit
48dc4f7b96
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@ -1,279 +1,429 @@
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// 基于准备好的dom，初始化echarts实例
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var myChart = echarts.init(document.getElementById('map_1'));
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$(function () {
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map();
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function map() {
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// 基于准备好的dom，初始化echarts实例
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var myChart = echarts.init(document.getElementById('map_1'));
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var data = [
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{name: '海门', value: 69},
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{name: '鄂尔多斯', value: 12},
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{name: '招远', value: 12},
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{name: '舟山', value: 12},
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{name: '齐齐哈尔', value: 14},
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{name: '盐城', value: 15},
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{name: '赤峰', value: 16},
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{name: '青岛', value: 18},
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{name: '乳山', value: 18},
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{name: '金昌', value: 19},
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{name: '泉州', value: 21},
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{name: '莱西', value: 21},
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{name: '日照', value: 21},
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{name: '胶南', value: 22},
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{name: '南通', value: 23},
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{name: '拉萨', value: 24},
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{name: '云浮', value: 24},
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{name: '梅州', value: 25},
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{name: '文登', value: 25},
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{name: '上海', value: 25},
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{name: '攀枝花', value: 25},
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{name: '威海', value: 25},
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{name: '承德', value: 25},
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{name: '厦门', value: 26},
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{name: '汕尾', value: 26},
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{name: '潮州', value: 26},
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{name: '丹东', value: 27},
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{name: '太仓', value: 27},
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{name: '曲靖', value: 27},
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{name: '烟台', value: 28},
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{name: '福州', value: 29},
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{name: '瓦房店', value: 30},
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{name: '即墨', value: 30},
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{name: '抚顺', value: 31},
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{name: '玉溪', value: 31},
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{name: '张家口', value: 31},
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{name: '阳泉', value: 31},
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{name: '莱州', value: 32},
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{name: '湖州', value: 32},
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{name: '汕头', value: 32},
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{name: '昆山', value: 33},
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{name: '宁波', value: 33},
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{name: '湛江', value: 33},
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{name: '揭阳', value: 34},
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{name: '荣成', value: 34},
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{name: '连云港', value: 35},
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{name: '葫芦岛', value: 35},
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{name: '常熟', value: 36},
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{name: '东莞', value: 36},
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{name: '河源', value: 36},
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{name: '淮安', value: 36},
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{name: '泰州', value: 36},
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{name: '南宁', value: 37},
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{name: '营口', value: 37},
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{name: '惠州', value: 37},
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{name: '江阴', value: 37},
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{name: '蓬莱', value: 37},
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{name: '韶关', value: 38},
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{name: '嘉峪关', value: 38},
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{name: '广州', value: 38},
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{name: '延安', value: 38},
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{name: '太原', value: 39},
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{name: '清远', value: 39},
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{name: '中山', value: 39},
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{name: '昆明', value: 39},
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{name: '寿光', value: 40},
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{name: '盘锦', value: 40},
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{name: '长治', value: 41},
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{name: '深圳', value: 41},
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{name: '珠海', value: 42},
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{name: '宿迁', value: 43},
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{name: '咸阳', value: 43},
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{name: '铜川', value: 44},
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{name: '平度', value: 44},
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{name: '佛山', value: 44},
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{name: '海口', value: 44},
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{name: '江门', value: 45},
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{name: '章丘', value: 45},
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{name: '肇庆', value: 46},
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{name: '大连', value: 47},
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{name: '临汾', value: 47},
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{name: '吴江', value: 47},
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{name: '石嘴山', value: 49},
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{name: '沈阳', value: 50},
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{name: '苏州', value: 50},
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{name: '茂名', value: 50},
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{name: '嘉兴', value: 51},
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{name: '长春', value: 51},
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{name: '胶州', value: 52},
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{name: '银川', value: 52},
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{name: '张家港', value: 52},
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{name: '三门峡', value: 53},
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{name: '锦州', value: 54},
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{name: '南昌', value: 54},
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{name: '柳州', value: 54},
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{name: '三亚', value: 54},
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{name: '自贡', value: 56},
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{name: '吉林', value: 56},
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{name: '阳江', value: 57},
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{name: '泸州', value: 57},
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{name: '西宁', value: 57},
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{name: '宜宾', value: 58},
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{name: '呼和浩特', value: 58},
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{name: '成都', value: 58},
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{name: '大同', value: 58},
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{name: '镇江', value: 59},
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{name: '桂林', value: 59},
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{name: '张家界', value: 59},
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{name: '宜兴', value: 59},
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{name: '北海', value: 60},
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{name: '西安', value: 61},
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{name: '金坛', value: 62},
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{name: '东营', value: 62},
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{name: '牡丹江', value: 63},
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{name: '遵义', value: 63},
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{name: '绍兴', value: 63},
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{name: '扬州', value: 64},
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{name: '常州', value: 64},
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{name: '潍坊', value: 65},
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{name: '重庆', value: 66},
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{name: '台州', value: 67},
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{name: '南京', value: 67},
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{name: '滨州', value: 70},
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{name: '贵阳', value: 71},
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{name: '无锡', value: 71},
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{name: '本溪', value: 71},
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{name: '克拉玛依', value: 72},
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{name: '渭南', value: 72},
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{name: '马鞍山', value: 72},
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{name: '宝鸡', value: 72},
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{name: '焦作', value: 75},
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{name: '句容', value: 75},
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{name: '北京', value: 79},
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{name: '徐州', value: 79},
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{name: '衡水', value: 80},
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{name: '包头', value: 80},
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{name: '绵阳', value: 80},
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{name: '乌鲁木齐', value: 84},
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{name: '枣庄', value: 84},
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{name: '杭州', value: 84},
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{name: '淄博', value: 85},
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{name: '鞍山', value: 86},
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{name: '溧阳', value: 86},
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{name: '库尔勒', value: 86},
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{name: '安阳', value: 90},
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{name: '开封', value: 90},
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{name: '济南', value: 92},
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{name: '德阳', value: 93},
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{name: '温州', value: 95},
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{name: '九江', value: 96},
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{name: '邯郸', value: 98},
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{name: '临安', value: 99},
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{name: '兰州', value: 99},
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{name: '沧州', value: 100},
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{name: '临沂', value: 103},
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{name: '南充', value: 104},
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{name: '天津', value: 105},
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{name: '富阳', value: 106},
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{name: '泰安', value: 112},
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{name: '诸暨', value: 112},
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{name: '郑州', value: 313},
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{name: '哈尔滨', value: 114},
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{name: '聊城', value: 116},
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{name: '芜湖', value: 117},
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{name: '唐山', value: 119},
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{name: '平顶山', value: 119},
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{name: '邢台', value: 119},
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{name: '德州', value: 120},
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{name: '济宁', value: 120},
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{name: '荆州', value: 127},
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{name: '宜昌', value: 130},
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{name: '义乌', value: 132},
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{name: '丽水', value: 133},
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{name: '洛阳', value: 134},
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{name: '秦皇岛', value: 136},
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{name: '株洲', value: 143},
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{name: '石家庄', value: 147},
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{name: '莱芜', value: 148},
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{name: '常德', value: 152},
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{name: '保定', value: 153},
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{name: '湘潭', value: 154},
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{name: '金华', value: 157},
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{name: '岳阳', value: 169},
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{name: '长沙', value: 175},
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{name: '衢州', value: 177},
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{name: '廊坊', value: 193},
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{name: '菏泽', value: 194},
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{name: '合肥', value: 229},
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{name: '武汉', value: 273},
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{name: '大庆', value: 279}
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];
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var geoCoordMap = {
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'上海': [121.4648,31.2891],
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'东莞': [113.8953,22.901],
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'东营': [118.7073,37.5513],
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'中山': [113.4229,22.478],
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'临汾': [111.4783,36.1615],
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'临沂': [118.3118,35.2936],
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'丹东': [124.541,40.4242],
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'丽水': [119.5642,28.1854],
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'乌鲁木齐': [87.9236,43.5883],
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'佛山': [112.8955,23.1097],
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'保定': [115.0488,39.0948],
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'兰州': [103.5901,36.3043],
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'包头': [110.3467,41.4899],
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'北京': [116.4551,40.2539],
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'北海': [109.314,21.6211],
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'南京': [118.8062,31.9208],
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'南宁': [108.479,23.1152],
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'南昌': [116.0046,28.6633],
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'南通': [121.1023,32.1625],
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'厦门': [118.1689,24.6478],
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'台州': [121.1353,28.6688],
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'合肥': [117.29,32.0581],
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'呼和浩特': [111.4124,40.4901],
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'咸阳': [108.4131,34.8706],
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'哈尔滨': [127.9688,45.368],
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'唐山': [118.4766,39.6826],
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'嘉兴': [120.9155,30.6354],
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'大同': [113.7854,39.8035],
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'大连': [122.2229,39.4409],
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'天津': [117.4219,39.4189],
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'太原': [112.3352,37.9413],
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'威海': [121.9482,37.1393],
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'宁波': [121.5967,29.6466],
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'宝鸡': [107.1826,34.3433],
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'宿迁': [118.5535,33.7775],
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'常州': [119.4543,31.5582],
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'广州': [113.5107,23.2196],
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'廊坊': [116.521,39.0509],
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'延安': [109.1052,36.4252],
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'张家口': [115.1477,40.8527],
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'徐州': [117.5208,34.3268],
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'德州': [116.6858,37.2107],
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'惠州': [114.6204,23.1647],
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'成都': [103.9526,30.7617],
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'扬州': [119.4653,32.8162],
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'承德': [117.5757,41.4075],
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'拉萨': [91.1865,30.1465],
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'无锡': [120.3442,31.5527],
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'日照': [119.2786,35.5023],
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'昆明': [102.9199,25.4663],
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'杭州': [119.5313,29.8773],
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'枣庄': [117.323,34.8926],
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'柳州': [109.3799,24.9774],
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'株洲': [113.5327,27.0319],
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'武汉': [114.3896,30.6628],
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'汕头': [117.1692,23.3405],
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'江门': [112.6318,22.1484],
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'沈阳': [123.1238,42.1216],
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'沧州': [116.8286,38.2104],
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'河源': [114.917,23.9722],
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'泉州': [118.3228,25.1147],
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'泰安': [117.0264,36.0516],
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'泰州': [120.0586,32.5525],
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'济南': [117.1582,36.8701],
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'济宁': [116.8286,35.3375],
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'海口': [110.3893,19.8516],
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'淄博': [118.0371,36.6064],
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'淮安': [118.927,33.4039],
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'深圳': [114.5435,22.5439],
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'清远': [112.9175,24.3292],
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'温州': [120.498,27.8119],
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'渭南': [109.7864,35.0299],
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'湖州': [119.8608,30.7782],
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'湘潭': [112.5439,27.7075],
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'滨州': [117.8174,37.4963],
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'潍坊': [119.0918,36.524],
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'烟台': [120.7397,37.5128],
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'玉溪': [101.9312,23.8898],
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'珠海': [113.7305,22.1155],
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'盐城': [120.2234,33.5577],
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'盘锦': [121.9482,41.0449],
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'石家庄': [114.4995,38.1006],
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'福州': [119.4543,25.9222],
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'秦皇岛': [119.2126,40.0232],
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'绍兴': [120.564,29.7565],
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'聊城': [115.9167,36.4032],
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'肇庆': [112.1265,23.5822],
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'舟山': [122.2559,30.2234],
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'苏州': [120.6519,31.3989],
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'莱芜': [117.6526,36.2714],
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'菏泽': [115.6201,35.2057],
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'营口': [122.4316,40.4297],
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'葫芦岛': [120.1575,40.578],
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'衡水': [115.8838,37.7161],
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'衢州': [118.6853,28.8666],
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||||
'西宁': [101.4038,36.8207],
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'西安': [109.1162,34.2004],
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'贵阳': [106.6992,26.7682],
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'连云港': [119.1248,34.552],
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'邢台': [114.8071,37.2821],
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'邯郸': [114.4775,36.535],
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'郑州': [113.4668,34.6234],
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'鄂尔多斯': [108.9734,39.2487],
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'重庆': [107.7539,30.1904],
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'金华': [120.0037,29.1028],
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'铜川': [109.0393,35.1947],
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'银川': [106.3586,38.1775],
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||||
'镇江': [119.4763,31.9702],
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||||
'长春': [125.8154,44.2584],
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||||
'长沙': [113.0823,28.2568],
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||||
'长治': [112.8625,36.4746],
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'阳泉': [113.4778,38.0951],
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'青岛': [120.4651,36.3373],
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'韶关': [113.7964,24.7028]
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'海门':[121.15,31.89],
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'鄂尔多斯':[109.781327,39.608266],
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'招远':[120.38,37.35],
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'舟山':[122.207216,29.985295],
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'齐齐哈尔':[123.97,47.33],
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'盐城':[120.13,33.38],
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'赤峰':[118.87,42.28],
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'青岛':[120.33,36.07],
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'乳山':[121.52,36.89],
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'金昌':[102.188043,38.520089],
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'泉州':[118.58,24.93],
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'莱西':[120.53,36.86],
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'日照':[119.46,35.42],
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||||
'胶南':[119.97,35.88],
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'南通':[121.05,32.08],
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'拉萨':[91.11,29.97],
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'云浮':[112.02,22.93],
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'梅州':[116.1,24.55],
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'文登':[122.05,37.2],
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'上海':[121.48,31.22],
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'攀枝花':[101.718637,26.582347],
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'威海':[122.1,37.5],
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'承德':[117.93,40.97],
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'厦门':[118.1,24.46],
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'汕尾':[115.375279,22.786211],
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'潮州':[116.63,23.68],
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'丹东':[124.37,40.13],
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'太仓':[121.1,31.45],
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'曲靖':[103.79,25.51],
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||||
'烟台':[121.39,37.52],
|
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|
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|
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|
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|
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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'海口':[110.35,20.02],
|
||||
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|
||||
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|
||||
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|
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|
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||||
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|
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||||
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|
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|
||||
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|
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|
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|
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||||
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|
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|
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|
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|
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|
||||
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|
||||
'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],
|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
'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],
|
||||
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|
||||
'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],
|
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'绵阳':[104.73,31.48],
|
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'乌鲁木齐':[87.68,43.77],
|
||||
'枣庄':[117.57,34.86],
|
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'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],
|
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'安阳':[114.35,36.1],
|
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'开封':[114.35,34.79],
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'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],
|
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'诸暨':[120.23,29.71],
|
||||
'郑州':[113.65,34.76],
|
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'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],
|
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'邢台':[114.48,37.05],
|
||||
'德州':[116.29,37.45],
|
||||
'济宁':[116.59,35.38],
|
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'荆州':[112.239741,30.335165],
|
||||
'宜昌':[111.3,30.7],
|
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'义乌':[120.06,29.32],
|
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'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],
|
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'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]
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};
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var BJData = [
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[{name:'北京'}, {name:'上海',value:95}],
|
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[{name:'北京'}, {name:'广州',value:90}],
|
||||
[{name:'北京'}, {name:'大连',value:80}],
|
||||
[{name:'北京'}, {name:'南宁',value:70}],
|
||||
[{name:'北京'}, {name:'南昌',value:60}],
|
||||
[{name:'北京'}, {name:'拉萨',value:50}],
|
||||
[{name:'北京'}, {name:'长春',value:40}],
|
||||
[{name:'北京'}, {name:'包头',value:30}],
|
||||
[{name:'北京'}, {name:'重庆',value:20}],
|
||||
[{name:'北京'}, {name:'常州',value:10}]
|
||||
];
|
||||
|
||||
var SHData = [
|
||||
[{name:'上海'},{name:'包头',value:95}],
|
||||
[{name:'上海'},{name:'昆明',value:90}],
|
||||
[{name:'上海'},{name:'广州',value:80}],
|
||||
[{name:'上海'},{name:'郑州',value:70}],
|
||||
[{name:'上海'},{name:'长春',value:60}],
|
||||
[{name:'上海'},{name:'重庆',value:50}],
|
||||
[{name:'上海'},{name:'长沙',value:40}],
|
||||
[{name:'上海'},{name:'北京',value:30}],
|
||||
[{name:'上海'},{name:'丹东',value:20}],
|
||||
[{name:'上海'},{name:'大连',value:10}]
|
||||
];
|
||||
|
||||
var GZData = [
|
||||
[{name:'广州'},{name:'福州',value:95}],
|
||||
[{name:'广州'},{name:'太原',value:90}],
|
||||
[{name:'广州'},{name:'长春',value:80}],
|
||||
[{name:'广州'},{name:'重庆',value:70}],
|
||||
[{name:'广州'},{name:'西安',value:60}],
|
||||
[{name:'广州'},{name:'成都',value:50}],
|
||||
[{name:'广州'},{name:'常州',value:40}],
|
||||
[{name:'广州'},{name:'北京',value:30}],
|
||||
[{name:'广州'},{name:'北海',value:20}],
|
||||
[{name:'广州'},{name:'海口',value:10}]
|
||||
];
|
||||
|
||||
var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';
|
||||
|
||||
var convertData = function (data) {
|
||||
var res = [];
|
||||
for (var i = 0; i < data.length; i++) {
|
||||
var dataItem = data[i];
|
||||
var fromCoord = geoCoordMap[dataItem[0].name];
|
||||
var toCoord = geoCoordMap[dataItem[1].name];
|
||||
if (fromCoord && toCoord) {
|
||||
res.push([{
|
||||
coord: fromCoord
|
||||
}, {
|
||||
coord: toCoord
|
||||
}]);
|
||||
var geoCoord = geoCoordMap[data[i].name];
|
||||
if (geoCoord) {
|
||||
res.push({
|
||||
name: data[i].name,
|
||||
value: geoCoord.concat(data[i].value)
|
||||
});
|
||||
}
|
||||
}
|
||||
return res;
|
||||
};
|
||||
|
||||
var color = ['#a6c84c', '#ffa022', '#46bee9'];
|
||||
var series = [];
|
||||
[['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
|
||||
series.push({
|
||||
name: item[0] + ' Top10',
|
||||
type: 'lines',
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||||
zlevel: 1,
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||||
effect: {
|
||||
show: true,
|
||||
period: 6,
|
||||
trailLength: 0.7,
|
||||
color: '#fff',
|
||||
symbolSize: 3
|
||||
},
|
||||
lineStyle: {
|
||||
normal: {
|
||||
color: color[i],
|
||||
width: 0,
|
||||
curveness: 0.2
|
||||
}
|
||||
},
|
||||
data: convertData(item[1])
|
||||
},
|
||||
{
|
||||
name: item[0] + ' Top10',
|
||||
type: 'lines',
|
||||
zlevel: 2,
|
||||
effect: {
|
||||
show: true,
|
||||
period: 6,
|
||||
trailLength: 0,
|
||||
symbol: planePath,
|
||||
symbolSize: 15
|
||||
},
|
||||
lineStyle: {
|
||||
normal: {
|
||||
color: color[i],
|
||||
width: 1,
|
||||
opacity: 0.4,
|
||||
curveness: 0.2
|
||||
}
|
||||
},
|
||||
data: convertData(item[1])
|
||||
},
|
||||
{
|
||||
name: item[0] + ' Top10',
|
||||
type: 'effectScatter',
|
||||
coordinateSystem: 'geo',
|
||||
zlevel: 2,
|
||||
rippleEffect: {
|
||||
brushType: 'stroke'
|
||||
},
|
||||
label: {
|
||||
normal: {
|
||||
show: true,
|
||||
position: 'right',
|
||||
formatter: '{b}'
|
||||
}
|
||||
},
|
||||
symbolSize: function (val) {
|
||||
return val[2] / 8;
|
||||
},
|
||||
itemStyle: {
|
||||
normal: {
|
||||
color: color[i]
|
||||
}
|
||||
},
|
||||
data: item[1].map(function (dataItem) {
|
||||
return {
|
||||
name: dataItem[1].name,
|
||||
value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
|
||||
};
|
||||
})
|
||||
});
|
||||
});
|
||||
|
||||
option = {
|
||||
backgroundColor: '#404a59',
|
||||
title : {
|
||||
text: '模拟迁徙',
|
||||
subtext: '数据纯属虚构',
|
||||
// backgroundColor: '#404a59',
|
||||
/*** title: {
|
||||
text: '实时行驶车辆',
|
||||
subtext: 'data from PM25.in',
|
||||
sublink: 'http://www.pm25.in',
|
||||
left: 'center',
|
||||
textStyle : {
|
||||
color: '#fff'
|
||||
}
|
||||
},
|
||||
tooltip : {
|
||||
trigger: 'item'
|
||||
},
|
||||
legend: {
|
||||
orient: 'vertical',
|
||||
top: 'bottom',
|
||||
left: 'right',
|
||||
data:['北京 Top10', '上海 Top10', '广州 Top10'],
|
||||
textStyle: {
|
||||
color: '#fff'
|
||||
},
|
||||
selectedMode: 'single'
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}
|
||||
},**/
|
||||
tooltip : {
|
||||
trigger: 'item',
|
||||
formatter: function (params) {
|
||||
if(typeof(params.value)[2] == "undefined"){
|
||||
return params.name + ' : ' + params.value;
|
||||
}else{
|
||||
return params.name + ' : ' + params.value[2];
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
geo: {
|
||||
map: 'china',
|
||||
label: {
|
||||
|
|
@ -281,23 +431,85 @@ option = {
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|||
show: false
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||||
}
|
||||
},
|
||||
roam: true,
|
||||
roam: false,//禁止其放大缩小
|
||||
itemStyle: {
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||||
normal: {
|
||||
areaColor: '#323c48',
|
||||
borderColor: '#404a59'
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areaColor: '#4c60ff',
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borderColor: '#002097'
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},
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emphasis: {
|
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areaColor: '#2a333d'
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areaColor: '#293fff'
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}
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}
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||||
},
|
||||
series: series
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||||
series : [
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||||
{
|
||||
name: '消费金额',
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type: 'scatter',
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coordinateSystem: 'geo',
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||||
data: convertData(data),
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||||
symbolSize: function (val) {
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return val[2] / 15;
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},
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label: {
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normal: {
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formatter: '{b}',
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position: 'right',
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show: false
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},
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emphasis: {
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show: true
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}
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},
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itemStyle: {
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normal: {
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color: '#ffeb7b'
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}
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}
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}
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||||
|
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/**
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,
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{
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name: 'Top 5',
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type: 'effectScatter',
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coordinateSystem: 'geo',
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data: convertData(data.sort(function (a, b) {
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return b.value - a.value;
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||||
}).slice(0, 6)),
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||||
symbolSize: function (val) {
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return val[2] / 20;
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},
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showEffectOn: 'render',
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rippleEffect: {
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brushType: 'stroke'
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},
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hoverAnimation: true,
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label: {
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normal: {
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formatter: '{b}',
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position: 'right',
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show: true
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}
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},
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itemStyle: {
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normal: {
|
||||
color: '#ffd800',
|
||||
shadowBlur: 10,
|
||||
shadowColor: 'rgba(0,0,0,.3)'
|
||||
}
|
||||
},
|
||||
zlevel: 1
|
||||
}
|
||||
**/
|
||||
]
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize", function () {
|
||||
myChart.resize();
|
||||
});
|
||||
myChart.setOption(option);
|
||||
window.addEventListener("resize",function(){
|
||||
myChart.resize();
|
||||
});
|
||||
}
|
||||
|
||||
})
|
||||
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -171,7 +171,7 @@
|
|||
},
|
||||
xAxis: [{
|
||||
type: 'category',
|
||||
data: ['浙江', '上海', '江苏', '广东', '北京', '深圳', '安徽'],
|
||||
data: ['模具工厂', '注塑工厂', '组装工厂', '包装工厂', '丝印工厂', '涂色工厂', '燃料工厂'],
|
||||
axisLine: {
|
||||
show: true,
|
||||
lineStyle: {
|
||||
|
|
@ -270,7 +270,7 @@
|
|||
},
|
||||
xAxis: [{
|
||||
type: 'category',
|
||||
data: ['浙江', '上海', '江苏', '广东', '北京', '深圳', '安徽', '四川'],
|
||||
data: ['车间1', '车间2', '车间3', '车间4', '车间5', '车间6', '车间7', '车间8'],
|
||||
axisLine: {
|
||||
show: true,
|
||||
lineStyle: {
|
||||
|
|
@ -359,7 +359,7 @@
|
|||
},
|
||||
legend: {
|
||||
top: '0%',
|
||||
data: ['安卓', 'IOS'],
|
||||
data: ['良率', '不良率'],
|
||||
textStyle: {
|
||||
color: 'rgba(255,255,255,.5)',
|
||||
fontSize: '12',
|
||||
|
|
@ -424,7 +424,7 @@
|
|||
}],
|
||||
series: [
|
||||
{
|
||||
name: '安卓',
|
||||
name: '良率',
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
symbol: 'circle',
|
||||
|
|
@ -460,7 +460,7 @@
|
|||
|
||||
},
|
||||
{
|
||||
name: 'IOS',
|
||||
name: '不良率',
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
symbol: 'circle',
|
||||
|
|
@ -657,7 +657,7 @@
|
|||
option = {
|
||||
|
||||
title: [{
|
||||
text: '年龄分布',
|
||||
text: '安徽基地',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
|
|
@ -685,7 +685,7 @@
|
|||
},
|
||||
series: [
|
||||
{
|
||||
name: '年龄分布',
|
||||
name: '安徽基地',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
|
|
@ -716,7 +716,7 @@
|
|||
option = {
|
||||
|
||||
title: [{
|
||||
text: '职业分布',
|
||||
text: '上海基地',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
|
|
@ -744,7 +744,7 @@
|
|||
},
|
||||
series: [
|
||||
{
|
||||
name: '年龄分布',
|
||||
name: '上海基地',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
|
|
@ -775,7 +775,7 @@
|
|||
var myChart = echarts.init(document.getElementById('fb3'));
|
||||
option = {
|
||||
title: [{
|
||||
text: '兴趣分布',
|
||||
text: '华北基地',
|
||||
left: 'center',
|
||||
textStyle: {
|
||||
color: '#fff',
|
||||
|
|
@ -802,7 +802,7 @@
|
|||
},
|
||||
series: [
|
||||
{
|
||||
name: '兴趣分布',
|
||||
name: '华北基地',
|
||||
type: 'pie',
|
||||
center: ['50%', '42%'],
|
||||
radius: ['40%', '60%'],
|
||||
|
|
|
|||
|
|
@ -6,7 +6,6 @@
|
|||
<script type="text/javascript" src="${request.contextPath}/lib/jquery/jquery.min.js"></script>
|
||||
<link rel="stylesheet" href="${request.contextPath}/css/planDemo.css">
|
||||
<script type="text/javascript" src="${request.contextPath}/lib/echarts/echarts.min.js"></script>
|
||||
<script type="text/javascript" src="${request.contextPath}/js/mes/digitization/area_echarts.js"></script>
|
||||
</head>
|
||||
<script>
|
||||
$(window).load(function () {
|
||||
|
|
@ -31,7 +30,7 @@
|
|||
</div>
|
||||
<div class="head">
|
||||
<h1>大数据可视化展板通用模板</h1>
|
||||
<div class="weather"><!--<img src="picture/weather.png"><span>多云转小雨</span>--><span id="showTime"></span></div>
|
||||
<div class="weather"><span id="showTime"></span></div>
|
||||
|
||||
<script>
|
||||
var t = null;
|
||||
|
|
@ -57,12 +56,12 @@
|
|||
<ul class="clearfix">
|
||||
<li>
|
||||
<div class="boxall" style="height: 3.2rem">
|
||||
<div class="alltitle">模块标题样式</div>
|
||||
<div class="alltitle">智慧排程</div>
|
||||
<div class="allnav" id="orderStatus"></div>
|
||||
<div class="boxfoot"></div>
|
||||
</div>
|
||||
<div class="boxall" style="height: 3.2rem">
|
||||
<div class="alltitle">模块标题样式</div>
|
||||
<div class="alltitle">工厂出库</div>
|
||||
<div class="allnav" id="echart2"></div>
|
||||
<div class="boxfoot"></div>
|
||||
</div>
|
||||
|
|
@ -98,20 +97,21 @@
|
|||
<div class="map3"><img src="${request.contextPath}/picture/map.png"></div>
|
||||
<div class="map4" id="map_1"></div>
|
||||
</div>
|
||||
|
||||
</li>
|
||||
<li>
|
||||
<div class="boxall" style="height:3.4rem">
|
||||
<div class="alltitle">模块标题样式</div>
|
||||
<div class="alltitle">工厂不良率</div>
|
||||
<div class="allnav" id="echart4"></div>
|
||||
<div class="boxfoot"></div>
|
||||
</div>
|
||||
<div class="boxall" style="height: 3.2rem">
|
||||
<div class="alltitle">模块标题样式</div>
|
||||
<div class="alltitle">工厂入库</div>
|
||||
<div class="allnav" id="echart5"></div>
|
||||
<div class="boxfoot"></div>
|
||||
</div>
|
||||
<div class="boxall" style="height: 3rem">
|
||||
<div class="alltitle">模块标题样式</div>
|
||||
<div class="alltitle">人员分布图</div>
|
||||
<div class="allnav" id="echart6"></div>
|
||||
<div class="boxfoot"></div>
|
||||
</div>
|
||||
|
|
@ -119,6 +119,9 @@
|
|||
</ul>
|
||||
</div>
|
||||
<div class="back"></div>
|
||||
<script type="text/javascript" src="${request.contextPath}/js/mes/digitization/china.js"></script>
|
||||
<script type="text/javascript" src="${request.contextPath}/js/mes/digitization/js.js"></script>
|
||||
<script type="text/javascript" src="${request.contextPath}/js/mes/digitization/area_echarts.js"></script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
|
|
|
|||
Loading…
Reference in New Issue