如何使右方图表具有图例的深浅效果echarts value配置项内容和展示

参照https://gallery.echartsjs.com/editor.html?c=scatter-map-brush 添加了图例，发现右方的图表的深浅是随个数变化，并不是随数值变化，请问各位大神怎么改成随数值变化，谢谢

      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]
};

var data = [{
        name: "海门",
        value: 9
    },
    {
        name: "鄂尔多斯",
        value: 12
    },
    {
        name: "招远",
        value: 12
    },
    {
        name: "舟山",
        value: 12
    },
    {
        name: "齐齐哈尔",
        value: 14
    },
    {
        name: "盐城",
        value: 15
    },
    {
        name: "赤峰",
        value: 16
    },
    {
        name: "青岛",
        value: 18
    },
    {
        name: "乳山",
        value: 18
    },
    {
        name: "金昌",
        value: 19
    },
    {
        name: "泉州",
        value: 21
    },
    {
        name: "莱西",
        value: 21
    },
    {
        name: "日照",
        value: 21
    },
    {
        name: "胶南",
        value: 22
    },
    {
        name: "南通",
        value: 23
    },
    {
        name: "拉萨",
        value: 24
    },
    {
        name: "云浮",
        value: 24
    },
    {
        name: "梅州",
        value: 25
    },
    {
        name: "文登",
        value: 25
    },
    {
        name: "上海",
        value: 25
    },
    {
        name: "攀枝花",
        value: 25
    },
    {
        name: "威海",
        value: 25
    },
    {
        name: "承德",
        value: 25
    },
    {
        name: "厦门",
        value: 26
    },
    {
        name: "汕尾",
        value: 26
    },
    {
        name: "潮州",
        value: 26
    },
    {
        name: "丹东",
        value: 27
    },
    {
        name: "太仓",
        value: 27
    },
    {
        name: "曲靖",
        value: 27
    },
    {
        name: "烟台",
        value: 28
    },
    {
        name: "福州",
        value: 29
    },
    {
        name: "瓦房店",
        value: 30
    },
    {
        name: "即墨",
        value: 30
    },
    {
        name: "抚顺",
        value: 31
    },
    {
        name: "玉溪",
        value: 31
    },
    {
        name: "张家口",
        value: 31
    },
    {
        name: "阳泉",
        value: 31
    },
    {
        name: "莱州",
        value: 32
    },
    {
        name: "湖州",
        value: 32
    },
    {
        name: "汕头",
        value: 32
    },
    {
        name: "昆山",
        value: 33
    },
    {
        name: "宁波",
        value: 33
    },
    {
        name: "湛江",
        value: 33
    },
    {
        name: "揭阳",
        value: 34
    },
    {
        name: "荣成",
        value: 34
    },
    {
        name: "连云港",
        value: 35
    },
    {
        name: "葫芦岛",
        value: 35
    },
    {
        name: "常熟",
        value: 36
    },
    {
        name: "东莞",
        value: 36
    },
    {
        name: "河源",
        value: 36
    },
    {
        name: "淮安",
        value: 36
    },
    {
        name: "泰州",
        value: 36
    },
    {
        name: "南宁",
        value: 37
    },
    {
        name: "营口",
        value: 37
    },
    {
        name: "惠州",
        value: 37
    },
    {
        name: "江阴",
        value: 37
    },
    {
        name: "蓬莱",
        value: 37
    },
    {
        name: "韶关",
        value: 38
    },
    {
        name: "嘉峪关",
        value: 38
    },
    {
        name: "广州",
        value: 38
    },
    {
        name: "延安",
        value: 38
    },
    {
        name: "太原",
        value: 39
    },
    {
        name: "清远",
        value: 39
    },
    {
        name: "中山",
        value: 39
    },
    {
        name: "昆明",
        value: 39
    },
    {
        name: "寿光",
        value: 40
    },
    {
        name: "盘锦",
        value: 40
    },
    {
        name: "长治",
        value: 41
    },
    {
        name: "深圳",
        value: 41
    },
    {
        name: "珠海",
        value: 42
    },
    {
        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: 44
    },
    {
        name: "江门",
        value: 45
    },
    {
        name: "章丘",
        value: 45
    },
    {
        name: "肇庆",
        value: 46
    },
    {
        name: "大连",
        value: 47
    },
    {
        name: "临汾",
        value: 47
    },
    {
        name: "吴江",
        value: 47
    },
    {
        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: 58
    },
    {
        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: "金坛",
        value: 62
    },
    {
        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: 71
    },
    {
        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: 75
    },
    {
        name: "句容",
        value: 75
    },
    {
        name: "北京",
        value: 79
    },
    {
        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: 85
    },
    {
        name: "鞍山",
        value: 86
    },
    {
        name: "溧阳",
        value: 86
    },
    {
        name: "库尔勒",
        value: 86
    },
    {
        name: "安阳",
        value: 90
    },
    {
        name: "开封",
        value: 90
    },
    {
        name: "济南",
        value: 92
    },
    {
        name: "德阳",
        value: 93
    },
    {
        name: "温州",
        value: 95
    },
    {
        name: "九江",
        value: 96
    },
    {
        name: "邯郸",
        value: 98
    },
    {
        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: 113
    },
    {
        name: "哈尔滨",
        value: 114
    },
    {
        name: "聊城",
        value: 116
    },
    {
        name: "芜湖",
        value: 117
    },
    {
        name: "唐山",
        value: 119
    },
    {
        name: "平顶山",
        value: 119
    },
    {
        name: "邢台",
        value: 119
    },
    {
        name: "德州",
        value: 120
    },
    {
        name: "济宁",
        value: 120
    },
    {
        name: "荆州",
        value: 127
    },
    {
        name: "宜昌",
        value: 130
    },
    {
        name: "义乌",
        value: 132
    },
    {
        name: "丽水",
        value: 133
    },
    {
        name: "洛阳",
        value: 134
    },
    {
        name: "秦皇岛",
        value: 136
    },
    {
        name: "株洲",
        value: 143
    },
    {
        name: "石家庄",
        value: 147
    },
    {
        name: "莱芜",
        value: 148
    },
    {
        name: "常德",
        value: 152
    },
    {
        name: "保定",
        value: 153
    },
    {
        name: "湘潭",
        value: 154
    },
    {
        name: "金华",
        value: 157
    },
    {
        name: "岳阳",
        value: 169
    },
    {
        name: "长沙",
        value: 175
    },
    {
        name: "衢州",
        value: 177
    },
    {
        name: "廊坊",
        value: 193
    },
    {
        name: "菏泽",
        value: 194
    },
    {
        name: "合肥",
        value: 229
    },
    {
        name: "武汉",
        value: 273
    },
    {
        name: "大庆",
        value: 279
    }
];

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;
};

var convertedData = [
    convertData(data),
    convertData(data.sort(function(a, b) {
        return b.value - a.value;
    }).slice(0, 6))
];


option = {
    backgroundColor: '#404a59',
    animation: true,
    animationDuration: 1000,
    animationEasing: 'cubicInOut',
    animationDurationUpdate: 1000,
    animationEasingUpdate: 'cubicInOut',
    title: [{
            text: '全国主要城市 PM 2.5',
            subtext: 'data from PM25.in',
            sublink: 'http://www.pm25.in',
            left: 'center',
            textStyle: {
                color: '#fff'
            }
        },
        {
            id: 'statistic',
            right: 120,
            top: 40,
            width: 100,
            textStyle: {
                color: '#fff',
                fontSize: 16
            }
        }
    ],
    toolbox: {
        iconStyle: {
            normal: {
                borderColor: '#fff'
            },
            emphasis: {
                borderColor: '#b1e4ff'
            }
        }
    },
    visualMap: {
        min: 0,
        max: 100,
        calculable: true,
        color: ['#a50026', '#d73027', '#f46d43', '#fdae61', '#fee090', '#ffffbf'],
        textStyle: {
            color: '#fff'
        }
    },
    brush: {
        outOfBrush: {
            color: '#abc'
        },
        brushStyle: {
            borderWidth: 2,
            color: 'rgba(0,0,0,0.2)',
            borderColor: 'rgba(0,0,0,0.5)',
        },
        seriesIndex: [0, 1],
        throttleType: 'debounce',
        throttleDelay: 300,
        geoIndex: 0
    },
    geo: {
        map: 'china',
        left: '10',
        right: '35%',
        center: [117.98561551896913, 31.205000490896193],
        zoom: 2.5,
        label: {
            emphasis: {
                show: false
            }
        },
        roam: true,
        itemStyle: {
            normal: {
                areaColor: '#323c48',
                borderColor: '#111'
            },
            emphasis: {
                areaColor: '#2a333d'
            }
        }
    },
    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: '#aaa'
            }
        },
    },
    yAxis: {
        type: 'category',
        name: 'TOP 20',
        nameGap: 16,
        axisLine: {
            show: false,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisTick: {
            show: false,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisLabel: {
            interval: 0,
            textStyle: {
                color: '#ddd'
            }
        },
        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: '#ddb926'
                }
            }
        },
        {
            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: '#ddb926'
                }
            },
            data: []
        }
    ]
};


myChart.on('brushselected', renderBrushed);

// myChart.setOption(option);

setTimeout(function() {
    myChart.dispatchAction({
        type: 'brush',
        areas: [{
            geoIndex: 0,
            brushType: 'polygon',
            coordRange: [
                [119.72, 34.85],
                [119.68, 34.85],
                [119.5, 34.84],
                [119.19, 34.77],
                [118.76, 34.63],
                [118.6, 34.6],
                [118.46, 34.6],
                [118.33, 34.57],
                [118.05, 34.56],
                [117.6, 34.56],
                [117.41, 34.56],
                [117.25, 34.56],
                [117.11, 34.56],
                [117.02, 34.56],
                [117, 34.56],
                [116.94, 34.56],
                [116.94, 34.55],
                [116.9, 34.5],
                [116.88, 34.44],
                [116.88, 34.37],
                [116.88, 34.33],
                [116.88, 34.24],
                [116.92, 34.15],
                [116.98, 34.09],
                [117.05, 34.06],
                [117.19, 33.96],
                [117.29, 33.9],
                [117.43, 33.8],
                [117.49, 33.75],
                [117.54, 33.68],
                [117.6, 33.65],
                [117.62, 33.61],
                [117.64, 33.59],
                [117.68, 33.58],
                [117.7, 33.52],
                [117.74, 33.5],
                [117.74, 33.46],
                [117.8, 33.44],
                [117.82, 33.41],
                [117.86, 33.37],
                [117.9, 33.3],
                [117.9, 33.28],
                [117.9, 33.27],
                [118.09, 32.97],
                [118.21, 32.7],
                [118.29, 32.56],
                [118.31, 32.5],
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                [118.9, 31.51],
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                [118.97, 31.39],
                [118.97, 31.37],
                [118.97, 31.34],
                [118.97, 31.27],
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                [118.97, 31.17],
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                [118.97, 31.02],
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                [118.95, 30.76],
                [118.93, 30.7],
                [118.91, 30.63],
                [118.91, 30.61],
                [118.91, 30.6],
                [118.9, 30.6],
                [118.88, 30.54],
                [118.88, 30.51],
                [118.86, 30.51],
                [118.86, 30.46],
                [118.72, 30.18],
                [118.68, 30.1],
                [118.66, 30.07],
                [118.62, 29.91],
                [118.56, 29.73],
                [118.52, 29.63],
                [118.48, 29.51],
                [118.44, 29.42],
                [118.44, 29.32],
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                [118.43, 29.14],
                [118.43, 29.08],
                [118.44, 29.05],
                [118.46, 29.05],
                [118.6, 28.95],
                [118.64, 28.94],
                [119.07, 28.51],
                [119.25, 28.41],
                [119.36, 28.28],
                [119.46, 28.19],
                [119.54, 28.13],
                [119.66, 28.03],
                [119.78, 28],
                [119.87, 27.94],
                [120.03, 27.86],
                [120.17, 27.79],
                [120.23, 27.76],
                [120.3, 27.72],
                [120.42, 27.66],
                [120.52, 27.64],
                [120.58, 27.63],
                [120.64, 27.63],
                [120.77, 27.63],
                [120.89, 27.61],
                [120.97, 27.6],
                [121.07, 27.59],
                [121.15, 27.59],
                [121.28, 27.59],
                [121.38, 27.61],
                [121.56, 27.73],
                [121.73, 27.89],
                [122.03, 28.2],
                [122.3, 28.5],
                [122.46, 28.72],
                [122.5, 28.77],
                [122.54, 28.82],
                [122.56, 28.82],
                [122.58, 28.85],
                [122.6, 28.86],
                [122.61, 28.91],
                [122.71, 29.02],
                [122.73, 29.08],
                [122.93, 29.44],
                [122.99, 29.54],
                [123.03, 29.66],
                [123.05, 29.73],
                [123.16, 29.92],
                [123.24, 30.02],
                [123.28, 30.13],
                [123.32, 30.29],
                [123.36, 30.36],
                [123.36, 30.55],
                [123.36, 30.74],
                [123.36, 31.05],
                [123.36, 31.14],
                [123.36, 31.26],
                [123.38, 31.42],
                [123.46, 31.74],
                [123.48, 31.83],
                [123.48, 31.95],
                [123.46, 32.09],
                [123.34, 32.25],
                [123.22, 32.39],
                [123.12, 32.46],
                [123.07, 32.48],
                [123.05, 32.49],
                [122.97, 32.53],
                [122.91, 32.59],
                [122.83, 32.81],
                [122.77, 32.87],
                [122.71, 32.9],
                [122.56, 32.97],
                [122.38, 33.05],
                [122.3, 33.12],
                [122.26, 33.15],
                [122.22, 33.21],
                [122.22, 33.3],
                [122.22, 33.39],
                [122.18, 33.44],
                [122.07, 33.56],
                [121.99, 33.69],
                [121.89, 33.78],
                [121.69, 34.02],
                [121.66, 34.05],
                [121.64, 34.08]
            ]
        }]
    });
}, 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
            }
        },
        title: {
            id: 'statistic',
            text: count ? '平均: ' + (sum / count).toFixed(4) : ''
        },
        series: {
            id: 'bar',
            data: barData
        }
    });
}