主要城市2020年全年 PM 2.5平均值ECharts Gallery

20:11:45图表已生成
代码
var geoCoordMap = {
    "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],
    "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],
    "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],
    "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],
    "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: "青岛", value: 68},
    {name: "乳山", value: 48},
    {name: "金昌", value: 49},
    {name: "泉州", value: 41},
    {name: "莱西", value: 51},
    {name: "日照", value: 49},
    {name: "拉萨", value: 30},
    {name: "文登", value: 35},
	{name: "丹山", value: 32},
    {name: "上海", value: 104},
    {name: "攀枝花", value: 35},
    {name: "威海", value: 45},
    {name: "承德", value: 85},
    {name: "厦门", value: 36},
    {name: "太仓", value: 47},
    {name: "曲靖", value: 47},
    {name: "烟台", value: 48},
    {name: "福州", value: 79},
    {name: "张家口", value: 111},
    {name: "湖州", value: 62},
    {name: "汕头", value: 72},
    {name: "昆山", value: 55},
    {name: "宁波", value: 53},
    {name: "连云港", value: 55},
    {name: "葫芦岛", value: 65},
    {name: "东莞", value: 66},
    {name: "河源", value: 76},
    {name: "淮安", value: 56},
    {name: "泰州", value: 56},
    {name: "南宁", value: 67},
    {name: "营口", value: 67},
    {name: "惠州", value: 47},
    {name: "广州", value: 95},
    {name: "太原", value: 149},
    {name: "清远", value: 69},
    {name: "中山", value: 59},
    {name: "昆明", value: 78},
    {name: "深圳", value: 31},
    {name: "珠海", value: 72},
    {name: "宿迁", value: 43},
    {name: "咸阳", value: 43},
    {name: "铜川", value: 44},
    {name: "平度", value: 44},
    {name: "佛山", value: 44},
    {name: "海口", value: 29},
    {name: "石嘴山", value: 49},
    {name: "沈阳", value: 50},
    {name: "苏州", value: 50},
    {name: "茂名", value: 50},
    {name: "嘉兴", value: 51},
    {name: "长春", value: 51},
    {name: "胶州", value: 52},
    {name: "银川", value: 52},
    {name: "张家港", value: 52},
    {name: "三门峡", value: 53},
    {name: "锦州", value: 54},
    {name: "南昌", value: 54},
    {name: "柳州", value: 54},
    {name: "三亚", value: 54},
    {name: "自贡", value: 56},
    {name: "吉林", value: 56},
    {name: "阳江", value: 57},
    {name: "泸州", value: 57},
    {name: "西宁", value: 57},
    {name: "宜宾", value: 58},
    {name: "呼和浩特", value: 58},
    {name: "成都", value: 118},
    {name: "大同", value: 58},
    {name: "镇江", value: 59},
    {name: "桂林", value: 59},
    {name: "张家界", value: 59},
    {name: "宜兴", value: 59},
    {name: "北海", value: 60},
    {name: "西安", value: 61},
    {name: "东营", value: 62},
    {name: "牡丹江", value: 63},
    {name: "遵义", value: 63},
    {name: "绍兴", value: 63},
    {name: "扬州", value: 64},
    {name: "常州", value: 64},
    {name: "潍坊", value: 65},
    {name: "重庆", value: 66},
    {name: "台州", value: 67},
    {name: "南京", value: 67},
    {name: "滨州", value: 70},
    {name: "贵阳", value: 96},
    {name: "无锡", value: 71},
    {name: "本溪", value: 71},
    {name: "克拉玛依", value: 72},
    {name: "渭南", value: 72},
    {name: "马鞍山", value: 72},
    {name: "宝鸡", value: 72},
    {name: "焦作", value: 135},
    {name: "北京", value: 116},
    {name: "徐州", value: 79},
    {name: "衡水", value: 80},
    {name: "包头", value: 80},
    {name: "绵阳", value: 80},
    {name: "乌鲁木齐", value: 84},
    {name: "枣庄", value: 84},
    {name: "杭州", value: 84},
    {name: "淄博", value: 135},
    {name: "鞍山", value: 86},
    {name: "库尔勒", value: 86},
    {name: "安阳", value: 150},
    {name: "开封", value: 90},
    {name: "济南", value: 137},
    {name: "德阳", value: 93},
    {name: "温州", value: 95},
    {name: "九江", value: 96},
    {name: "邯郸", value: 138},
    {name: "临安", value: 99},
    {name: "兰州", value: 99},
    {name: "沧州", value: 100},
    {name: "临沂", value: 103},
    {name: "南充", value: 104},
    {name: "天津", value: 105},
    {name: "富阳", value: 106},
    {name: "泰安", value: 112},
    {name: "诸暨", value: 112},
    {name: "郑州", value: 127},
    {name: "哈尔滨", value: 114},
    {name: "唐山", value: 149},
    {name: "平顶山", value: 99},
    {name: "邢台", value: 139},
	{name: "临汾", value: 134},
    {name: "德州", value: 120},
    {name: "丽水", value: 33},
    {name: "洛阳", value: 64},
    {name: "秦皇岛", value: 76},
    {name: "株洲", value: 123},
    {name: "石家庄", value: 130},
    {name: "莱芜", value: 128},
    {name: "常德", value: 142},
    {name: "保定", value: 113},
    {name: "湘潭", value: 74},
    {name: "金华", value: 87},
    {name: "岳阳", value: 79},
    {name: "长沙", value: 95},
    {name: "衢州", value: 117},
    {name: "廊坊", value: 133},
    {name: "菏泽", value: 114},
    {name: "合肥", value: 119},
    {name: "武汉", value: 131},
    {name: "大庆", value: 79}
];

//处理数据
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;
};

//代码排序
var convertedData = [
    convertData(data),
    convertData(data.sort(function (a, b) {
        return b.value - a.value;
    }).slice(0, 10)) //显示前10个
];


option = {
    backgroundColor: '#336577',
    animation: true,
    animationDuration: 1000,
    animationEasing: 'cubicInOut',
    animationDurationUpdate: 1000,
    animationEasingUpdate: 'cubicInOut',

//图表标题
    title: [
        {
            text: '主要城市2020年全年 PM 2.5平均值',
            left: 'center',
            textStyle: {
                color: '#ffa'
            }
        },
    ],
//地图
    geo: {
        map: 'china',
        left: '10',
        right: '39%',
        zoom: 1,
        label: {
            emphasis: {
                show: true
            }
        },
        roam: true, 
        itemStyle: {
            normal: {
                areaColor: '#666599',
                borderColor: '#111'
            },
            emphasis: {
                areaColor: '#2a3311'
            }
        }
    },
    
//工具箱
    toolbox: {
        iconStyle: {
            normal: {
                borderColor: '#fff'
            },
            emphasis: {
                borderColor: '#fff'
            }
        }
    },
    brush: {
        outOfBrush: {
            color: '#abc'
        },
        brushStyle: {
            borderWidth: 2,
            color: 'rgba(0,0,0,0.300)',
            borderColor: 'rgba(0,0,0,0.300)',
        },
        seriesIndex: [0, 1],
        throttleType: 'debounce',
        throttleDelay: 300,
        geoIndex: 0
    },
    
    //提示框图表
    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: '#ffa'}},
    },
    yAxis: {
        type: 'category',
        name: 'PM2.5指数',
        nameGap: 16,
        axisLine: {show: false, lineStyle: {color: '#ffa'}},
        axisTick: {show: false, lineStyle: {color: '#ffa'}},
        axisLabel: {interval: 0, textStyle: {color: '#ffa'}},
        data: []
    },
    series : [
        {
            name: 'pm2.5',
            type: 'scatter',
            coordinateSystem: 'geo',
            data: convertedData[0],
            symbolSize: function (val) {
                return Math.max(val[2] / 10, 8);
            },
            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: false
                },
                emphasis: {
                    show: true
                }
            },
            itemStyle: {
                normal: {
                    color: '#fff'
                }
            }
        },
        {
            name: 'Top 5',
            type: 'effectScatter',
            coordinateSystem: 'geo',
            data: convertedData[1],
            symbolSize: function (val) {
                return Math.max(val[2] / 10, 8);
            },
            showEffectOn: 'emphasis',
            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: '#ffa'//yan
                }
            },
            data: []
        }
    ]
};


myChart.on('brushselected', renderBrushed);

// 统计范围

setTimeout(function () {
    myChart.dispatchAction({
        type: 'brush',
        areas: [
            {
                geoIndex: 0,
                brushType: 'polygon',
                coordRange:[[115.7,34.8],[115.74,38],[122.74,38],[122.8,34.8]]
            }
        ]
    });
}, 0);


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

    var selectedItems = [];
    var categoryData = [];
    var barData = [];
    var maxBar = 30;
    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}
        },
        series: {
            id: 'bar',
            data: barData
        }
    });
}
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