SMusatov
/
gentelella
mirror of https://github.com/ColorlibHQ/gentelella.git


			
				
					
						
						
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							<html>
    <head>
        <meta charset='utf-8'>
        <script src='esl.js'></script>
        <script src='config.js'></script>
        <script src='lib/jquery.min.js'></script>
        <meta name="viewport" content="width=device-width, initial-scale=1" />
    </head>
    <body>
        <style>
            html, body, #main {
                width: 100%;
                height: 100%;
                margin: 0;
            }
        </style>
        <div id='main'></div>
        <script>

            require([
                'echarts',

                'echarts/chart/lines',
                'echarts/chart/effectScatter',
                'echarts/component/legend',
                'echarts/component/geo'
            ], function (echarts) {
                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([{
                                coord: fromCoord
                            }, {
                                coord: toCoord
                            }]);
                        }
                    }
                    return res;
                };
                $.get('../map/json/china.json', function (chinaJson) {
                    echarts.registerMap('china', chinaJson);

                    var myChart = echarts.init(document.getElementById('main'));

                    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: 2
                            },
                            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: 20
                            },
                            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])
                                };
                            })
                        });
                    });

                    myChart.setOption({
                        backgroundColor: '#404a59',
                        title: {
                            text: '全国主要城市空气质量',
                            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'
                        },
                        geo: {
                            map: 'china',
                            label: {
                                emphasis: {
                                    show: false
                                }
                            },
                            roam: true,
                            itemStyle: {
                                normal: {
                                    areaColor: '#323c48',
                                    borderColor: '#404a59'
                                },
                                emphasis: {
                                    areaColor: '#2a333d'
                                }
                            }
                        },
                        series: series
                    });
                });
            });

        </script>
    </body>
</html>