python_weather/web/js/area_echarts.js

$(function () {
    map();

    function map() {
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('map_1'));
        data = [
            {name: '北碚', value: 279},
            {name: '城口', value: 12},
            {name: '大足', value: 33},
            {name: '垫江', value: 54}

        ];
        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]
        };
        // geoCoordMap = {};
        geoCoordMap = {
            '北碚': [106.50, 29.81],
            '城口': [108.6520475, 31.90676506],
            '大足': [105.7692868, 29.65392091],
            '垫江': [107.4004904, 30.24903189],
            '丰都': [107.7461781, 29.91492542],
            '奉节': [109.3758974, 30.98202119],
            '合川': [106.2833096, 30.09766756],
            '江北': [106.6214893, 29.64821182],
            '江津': [106.2647885, 28.98483627],
            '开州': [108.1818518, 31.29466521],
            '南岸': [106.6379653, 29.47704825],
            '南川': [107.1406799, 29.12047319],
            '彭水': [108.2573507, 29.36444557],
            '綦南': [106.8036647, 28.96872774],
            '黔江': [108.7559876, 29.44290625],
            '石柱': [108.2438988, 30.07512144],
            '市区': [106.4377397, 29.52648606],
            '铜梁': [106.0616035, 29.81036286],
            '潼南': [105.8116920, 30.13795513],
            '万州': [108.0828876, 30.73353669],
            '巫山': [109.8779184, 31.09568937],
            '巫溪': [109.2970739, 31.48090521],
            '武隆': [107.6831317, 29.36831708],
            '秀山': [108.9997005, 28.49462861],
            '永川': [105.8347961, 29.41042605],
            '酉阳': [108.7911679, 28.88330557],
            '云阳': [108.7533957, 30.96025875],
            '长寿': [107.24, 29.95],
            '忠县': [107.9279014, 30.33522658],
            '川东': [107.3488646, 29.68233099]
        };
        var convertData = function (data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
                var geoCoord = geoCoordMap[data[i].name];
                if (geoCoord) {
                    res.push({
                        name: data[i].name,
                        value: geoCoord.concat(data[i].value)
                    });
                }
            }
            return res;
        };

        option = {
            // backgroundColor: '#404a59',
            title: {
                text: '实时AQI',
                subtext: '来源：气象局',
                sublink: 'https://gitee.com/iGaoWei/big-data-view',
                left: 'center',
                textStyle: {
                    color: '#fff'
                }
            },
            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: '重庆',
                label: {
                    emphasis: {
                        show: false
                    }
                },
                roam: false,//禁止其放大缩小
                itemStyle: {
                    normal: {
                        areaColor: '#4c60ff',
                        borderColor: '#002097'
                    },
                    emphasis: {
                        areaColor: '#293fff'
                    }
                }
            },
            series: [
                {
                    name: '消费金额',
                    type: 'scatter',
                    coordinateSystem: 'geo',
                    data: convertData(data),
                    symbolSize: function (val) {
                        return val[2] / 15;
                    },
                    label: {
                        normal: {
                            formatter: '{b}',
                            position: 'right',
                            show: false
                        },
                        emphasis: {
                            show: true
                        }
                    },
                    itemStyle: {
                        normal: {
                            color: '#ffeb7b'
                        }
                    }
                }
            ]
        };

        myChart.setOption(option);
        window.addEventListener("resize", function () {
            myChart.resize();
        });
    }

})