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)
文章图片




如图中 成都 省 显示就会出现:成都省,123.12,45.22,100;
【echarts 使用案例(针对map地图中显示数据格式化)】

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 = https://www.it610.com/article/[{ 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 = https://www.it610.com/article/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){ returna.value-b.value; })var selectedItems = []; var categoryData = []; var barData = []; //var maxBar = 30; var sum = 0; var count = data.length; for(var i=0; i

}, 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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