全国36城无人区数量ECharts Gallery

20:11:45图表已生成
代码
var data = [
    { name: "上海", value: 29780},
    { name: "珠海", value: 2186},
    { name: "三亚", value: 1135},
    { name: "惠州", value: 1973},
    { name: "海口", value: 2568},
    { name: "合肥", value: 4039},
    { name: "南京", value: 6959},
    { name: "杭州", value: 5632},
    { name: "苏州", value: 6707},
    { name: "无锡", value: 3393},
    { name: "昆山", value: 1894},
    { name: "广州", value: 15769},
    { name: "深圳", value: 8259},
    { name: "佛山", value: 5741},
    { name: "东莞", value: 3030},
    { name: "福州", value: 4542},
    { name: "厦门", value: 3329},
    { name: "南宁", value: 3157},
    { name: "郑州", value: 6690},
    { name: "武汉", value: 8678},
    { name: "长沙", value: 5303},
    { name: "南昌", value: 3025},
    { name: "北京", value: 20259},
    { name: "长春", value: 3016},
    { name: "大连", value: 3202},
    { name: "沈阳", value: 4540},
    { name: "哈尔滨", value: 3141},
    { name: "天津", value: 8626},
    { name: "济南", value: 4361},
    { name: "青岛", value: 6667},
    { name: "太原", value: 4080},
    { name: "石家庄", value: 6137},
    { name: "西安", value: 6991},
    { name: "成都", value: 13873},
    { name: "重庆", value: 13283},
    { name: "昆明", value: 4633},


];


var geoCoordMap = {
    "上海": [121.48, 31.22],
    "珠海": [113.52, 22.3],
    "三亚": [109.31, 18.14],
    "惠州": [114.4, 23.09],
    "海口": [110.35, 20.02],
    "合肥": [117.27, 31.86],
    "南京": [118.78, 32.04],
    "杭州": [120.19, 30.26],
    "苏州": [120.62, 31.32],
    "无锡": [120.29, 31.59],
    "昆山": [120.95, 31.39],
    "广州": [113.23, 23.16],
    "深圳": [114.07, 22.62],
    "佛山": [113.11, 23.05],
    "东莞": [113.75, 23.04],
    "福州": [119.3, 26.08],
    "厦门": [118.1, 24.46],
    "南宁": [108.33, 22.84],
    "郑州": [113.65, 34.76],
    "武汉": [114.31, 30.52],
    "长沙": [113, 28.21],
    "南昌": [115.89, 28.68],
    "北京": [116.46, 39.92],
    "长春": [125.35, 43.88],
    "大连": [121.62, 38.92],
    "沈阳": [123.38, 41.8],
    "哈尔滨": [126.63, 45.75],
    "天津": [117.2, 39.13],
    "济南": [117, 36.65],
    "青岛": [120.33, 36.07],
    "太原": [112.53, 37.87],
    "石家庄": [114.48, 38.03],
    "西安": [108.95, 34.27],
    "成都": [104.06, 30.67],
    "重庆": [106.54, 29.59],
    "昆明": [102.73, 25.04],
};


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36城“无人区”数',
        link: 'http://pages.anjuke.com/expert/newexpert.html',
        subtext: 'data from Anjuke',
        sublink: 'http://pages.anjuke.com/expert/newexpert.html',
        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'
            }
        },
        feature: {
            dataZoom: {},
            brush: {
                type: ['rect', 'polygon', 'clear']
            },
            saveAsImage: {
                show: true
            }
        }
    },
    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',
        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] / 300, 8);
        },
        label: {
            normal: {
                formatter: '{b}',
                position: 'right',
                show: false
            },
            emphasis: {
                show: true
            }
        },
        itemStyle: {
            normal: {
                color: '#ddb926'
            }
        }
    }, 
     {
            name: 'Top 5',
            type: 'effectScatter',
            coordinateSystem: 'geo',
            data: convertData(data.sort(function (a, b)
            {
            return b.value - a.value;
            }).slice(0, 5)),
            symbolSize: function (val) {
                return val[2] / 500;
            },
            showEffectOn: 'render',
            rippleEffect: {
                brushType: 'stroke'
            },
            hoverAnimation: true,
            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: true
                }
            },
            itemStyle: {
                normal: {
                    color: '#ff3300',
                    shadowBlur: 10,
                    shadowColor: '#FF7F00'
                }
            },
        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],
                [118.35, 32.46],
                [118.35, 32.42],
                [118.35, 32.36],
                [118.35, 32.34],
                [118.37, 32.24],
                [118.37, 32.14],
                [118.37, 32.09],
                [118.44, 32.05],
                [118.46, 32.01],
                [118.54, 31.98],
                [118.6, 31.93],
                [118.68, 31.86],
                [118.72, 31.8],
                [118.74, 31.78],
                [118.76, 31.74],
                [118.78, 31.7],
                [118.82, 31.64],
                [118.82, 31.62],
                [118.86, 31.58],
                [118.86, 31.55],
                [118.88, 31.54],
                [118.88, 31.52],
                [118.9, 31.51],
                [118.91, 31.48],
                [118.93, 31.43],
                [118.95, 31.4],
                [118.97, 31.39],
                [118.97, 31.37],
                [118.97, 31.34],
                [118.97, 31.27],
                [118.97, 31.21],
                [118.97, 31.17],
                [118.97, 31.12],
                [118.97, 31.02],
                [118.97, 30.93],
                [118.97, 30.87],
                [118.97, 30.85],
                [118.95, 30.8],
                [118.95, 30.77],
                [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],
                [118.43, 29.19],
                [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
        }
    });
}
作品使用的第三方脚本

数据管理

历史数据 0 条

代码修改记录

信息提示

保存作品
