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							<!doctype html>
<html lang="en">
    <head>
        <meta charset="UTF-8">
        <title>统计图表-WeAdmin Frame型后台管理系统-WeAdmin 1.0</title>
        <meta name="renderer" content="webkit|ie-comp|ie-stand">
        <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
        <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=0">
        <meta http-equiv="Cache-Control" content="no-siteapp" />
        <link rel="stylesheet" href="../../static/css/font.css">
        <link rel="stylesheet" href="../../static/css/weadmin.css">
    </head>
    <body>
        <div class="weadmin-body">
            <blockquote class="layui-elem-quote">
                特别声明：ECharts，一个纯 Javascript 的图表库，可以流畅的运行在 PC 和移动设备上，兼容当前绝大部分浏览器（IE8/9/10/11，Chrome，Firefox，Safari等），底层依赖轻量级的 Canvas 类库 ZRender，提供直观，生动，可交互，可高度个性化定制的数据可视化图表。WeAdmin提示：如需使用或者详细更多案例可以访问官网 <a href="http://echarts.baidu.com/" style="color:red">ECharts</a>。
            </blockquote>
            <!-- 为 ECharts 准备一个具备大小（宽高）的 DOM -->
            <div id="main" style="width: 100%;height:400px;"></div>
            <blockquote class="layui-elem-quote">
                注意：本案例的Echarts图表库由cdn引入，需要在线才能正常使用，若要离线使用，请至Echarts官网下载。
            </blockquote>
        </div>
        <script src="//cdn.bootcss.com/echarts/4.0.2/echarts.min.js"></script>
        <script src="//cdn.bootcss.com/echarts/4.0.2/extension/bmap.min.js"></script>
        <script src="http://echarts.baidu.com/asset/map/js/china.js"></script>
		<!--<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/china.js"></script>-->  
        
        <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        myChart.setOption({
            series: [{
                type: 'map',
                map: 'china'
            }]
        });

        // 指定图表的配置项和数据
        var geoCoordMap = {
            '上海': [121.4648,31.2891],
            '东莞': [113.8953,22.901],
            '东营': [118.7073,37.5513],
            '中山': [113.4229,22.478],
            '临汾': [111.4783,36.1615],
            '临沂': [118.3118,35.2936],
            '丹东': [124.541,40.4242],
            '丽水': [119.5642,28.1854],
            '乌鲁木齐': [87.9236,43.5883],
            '佛山': [112.8955,23.1097],
            '保定': [115.0488,39.0948],
            '兰州': [103.5901,36.3043],
            '包头': [110.3467,41.4899],
            '北京': [116.4551,40.2539],
            '北海': [109.314,21.6211],
            '南京': [118.8062,31.9208],
            '南宁': [108.479,23.1152],
            '南昌': [116.0046,28.6633],
            '南通': [121.1023,32.1625],
            '厦门': [118.1689,24.6478],
            '台州': [121.1353,28.6688],
            '合肥': [117.29,32.0581],
            '呼和浩特': [111.4124,40.4901],
            '咸阳': [108.4131,34.8706],
            '哈尔滨': [127.9688,45.368],
            '唐山': [118.4766,39.6826],
            '嘉兴': [120.9155,30.6354],
            '大同': [113.7854,39.8035],
            '大连': [122.2229,39.4409],
            '天津': [117.4219,39.4189],
            '太原': [112.3352,37.9413],
            '威海': [121.9482,37.1393],
            '宁波': [121.5967,29.6466],
            '宝鸡': [107.1826,34.3433],
            '宿迁': [118.5535,33.7775],
            '常州': [119.4543,31.5582],
            '广州': [113.5107,23.2196],
            '廊坊': [116.521,39.0509],
            '延安': [109.1052,36.4252],
            '张家口': [115.1477,40.8527],
            '徐州': [117.5208,34.3268],
            '德州': [116.6858,37.2107],
            '惠州': [114.6204,23.1647],
            '成都': [103.9526,30.7617],
            '扬州': [119.4653,32.8162],
            '承德': [117.5757,41.4075],
            '拉萨': [91.1865,30.1465],
            '无锡': [120.3442,31.5527],
            '日照': [119.2786,35.5023],
            '昆明': [102.9199,25.4663],
            '杭州': [119.5313,29.8773],
            '枣庄': [117.323,34.8926],
            '柳州': [109.3799,24.9774],
            '株洲': [113.5327,27.0319],
            '武汉': [114.3896,30.6628],
            '汕头': [117.1692,23.3405],
            '江门': [112.6318,22.1484],
            '沈阳': [123.1238,42.1216],
            '沧州': [116.8286,38.2104],
            '河源': [114.917,23.9722],
            '泉州': [118.3228,25.1147],
            '泰安': [117.0264,36.0516],
            '泰州': [120.0586,32.5525],
            '济南': [117.1582,36.8701],
            '济宁': [116.8286,35.3375],
            '海口': [110.3893,19.8516],
            '淄博': [118.0371,36.6064],
            '淮安': [118.927,33.4039],
            '深圳': [114.5435,22.5439],
            '清远': [112.9175,24.3292],
            '温州': [120.498,27.8119],
            '渭南': [109.7864,35.0299],
            '湖州': [119.8608,30.7782],
            '湘潭': [112.5439,27.7075],
            '滨州': [117.8174,37.4963],
            '潍坊': [119.0918,36.524],
            '烟台': [120.7397,37.5128],
            '玉溪': [101.9312,23.8898],
            '珠海': [113.7305,22.1155],
            '盐城': [120.2234,33.5577],
            '盘锦': [121.9482,41.0449],
            '石家庄': [114.4995,38.1006],
            '福州': [119.4543,25.9222],
            '秦皇岛': [119.2126,40.0232],
            '绍兴': [120.564,29.7565],
            '聊城': [115.9167,36.4032],
            '肇庆': [112.1265,23.5822],
            '舟山': [122.2559,30.2234],
            '苏州': [120.6519,31.3989],
            '莱芜': [117.6526,36.2714],
            '菏泽': [115.6201,35.2057],
            '营口': [122.4316,40.4297],
            '葫芦岛': [120.1575,40.578],
            '衡水': [115.8838,37.7161],
            '衢州': [118.6853,28.8666],
            '西宁': [101.4038,36.8207],
            '西安': [109.1162,34.2004],
            '贵阳': [106.6992,26.7682],
            '连云港': [119.1248,34.552],
            '邢台': [114.8071,37.2821],
            '邯郸': [114.4775,36.535],
            '郑州': [113.4668,34.6234],
            '鄂尔多斯': [108.9734,39.2487],
            '重庆': [107.7539,30.1904],
            '金华': [120.0037,29.1028],
            '铜川': [109.0393,35.1947],
            '银川': [106.3586,38.1775],
            '镇江': [119.4763,31.9702],
            '长春': [125.8154,44.2584],
            '长沙': [113.0823,28.2568],
            '长治': [112.8625,36.4746],
            '阳泉': [113.4778,38.0951],
            '青岛': [120.4651,36.3373],
            '韶关': [113.7964,24.7028]
        };

        var BJData = [
            [{name:'北京'}, {name:'上海',value:95}],
            [{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({
                        fromName: dataItem[0].name,
                        toName: dataItem[1].name,
                        coords: [fromCoord, toCoord]
                    });
                }
            }
            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',
                zlevel: 1,
                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',
                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'
            },
            geo: {
                map: 'china',
                label: {
                    emphasis: {
                        show: false
                    }
                },
                roam: true,
                itemStyle: {
                    normal: {
                        areaColor: '#323c48',
                        borderColor: '#404a59'
                    },
                    emphasis: {
                        areaColor: '#2a333d'
                    }
                }
            },
            series: series
        };


        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
    </body>
</html>