echarts 使用案例:针对map地图中显示数据格式化

前言:

1,报表连接:http://gallery.echartsjs.com/editor.html?c=xrJZ60TVIg

2,echats 制作报表中,使用地图的展示样式,发现地图上的显示数据不符合本意,地图中默认显示:区域:经纬度,数值。


1,先看下截图:

echarts 使用案例:针对map地图中显示数据格式化_第1张图片


如图中 成都 省 显示就会出现:成都省,123.12,45.22,100;


如果你这不是你所需要的需要自定义显示的样式,可以参考下面的解决方法;


代码我直接从网站 复制;


var geoCoordMap = {
    "北京": [116.46, 39.92],
    "南京": [118.78, 32.04],
    "吉林": [126.57, 43.87],
    "上海": [121.48, 31.22],
    "成都": [104.06, 30.67],
    "哈尔滨": [126.63, 45.75],
    "沈阳": [123.38, 41.8],
    // "合肥":[117.27,31.86],
    "武汉": [114.31, 30.52],
    "石家庄": [114.48, 38.03],
    "天津": [117.2, 39.13],
    "太原": [112.53, 37.87],
    "西安": [108.95, 34.27],
    "南宁": [108.33, 22.84],
    "南昌": [115.89, 28.68],
    "济南": [117, 36.65],
};

var data = [{
    name: "北京",
    value: 38
}, {
    name: "南京",
    value: 147
}, {
    name: "吉林",
    value: 74
}, {
    name: "上海",
    value: 33
}, {
    name: "成都",
    value: 192
}, {
    name: "哈尔滨",
    value: 35
}, {
    name: "沈阳",
    value: 0
}, {
    name: "武汉",
    value: 36
}, {
    name: "石家庄",
    value: 32
}, {
    name: "天津",
    value: 7
}, {
    name: "太原",
    value: 1
}, {
    name: "西安",
    value: 63
}, {
    name: "南宁",
    value: 29
}, {
    name: "南昌",
    value: 48
}, {
    name: "济南",
    value: 61
}];
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))
];
data.sort(function(a,b){
 return    a.value-b.value;
})

var selectedItems = [];
    var categoryData = [];
    var barData = [];
 //   var maxBar = 30;
    var sum = 0;
    var count = data.length;
    for(var i=0;i 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: true,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisTick: {
            show: false,
            lineStyle: {
                color: '#ddd'
            }
        },
        axisLabel: {
            interval: 0,
            textStyle: {
                color: '#ddd'
            }
        },
        data: categoryData
    },
    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',
                position: 'right',
                show: true
            }
        }
    }, {
        //  name: 'Top 5',
        type: 'effectScatter',
        coordinateSystem: 'geo',
        data: convertedData[0],
        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: data
    }]
};




//  var myChart= echarts.init(document.getElementById('map'));
//  myChart.setOption(option);
//myChart.on('brushselected', renderBrushed);


/*
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 b.value[2] - a.value[2];
        return a.value-b.value;
       });

    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',
            //        sort:'descending',
            data: barData
        }
    });
}

代码片段中标注为红色的部位 是需要增加格式化 函数的,这块代码我拿出来单独 解释。

tooltip: {
        trigger: 'item'
	
    },

在tooltip 属性中 增加一个属性[formatter];

最终结果:

tooltip:{

    trigger:'item',

    formatter:function(params){

    //这里可以获取到你的数据params

    //处理数据,返回显示结果。

    return '23';

}

}

情况一:

如果存在地图上数据显示正常但是 右边柱状图显示有问题,需要特别注意componentSubType 这个参数,

可以在控制台输出params 可以看到componentSubType 这个属性,使用它来区分数据在地图与柱状图上的显示。










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