下面我就为大家分享一篇vue2.0+element-ui+echarts封装的组件实例,具有很好的参考价值,希望对大家有所帮助。
本文用Vue2.0+elementUI的panel组件和table组件+echarts的柱状图和折线图实现对结果的展示,实现了表格和图之间的切换和图和表之间的转置。
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js,panel组件的代码
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var panelsVue = new Vue({ el : "#panels", props : ["initData","indicators","mapOptions"], data : { rowOrColumn : false, //行列转换 tableOrMap : true, //表和图切换 tableAndMap : 3, //表和图同时显示 mapInitOption : { title: { text: '' }, tooltip : { trigger: 'axis' }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', boundaryGap : false } ], yAxis : [ { type : 'value', axisLabel : { formatter: '{value}' } } ] } //echarts 初始化参数 }, methods:{ table : function(ev){ if(this.rowOrColumn){ this.indicators=this.listToRowObject(this.initData); this.mapOptions= this.listToColumnMap(this.initData); this.rowOrColumn=false; }else{ this.indicators=this.listToColumnObject(this.initData); this.mapOptions= this.listToRowMap(this.initData); this.rowOrColumn=true; } for(var i=0;i在使用上述组件过程中,发现当转置和表格切换之后里面全部都有变化,虽然可以做到单个panel组件自己实现转置和切换,但是发现如果数据太多会导致页面卡死,为了性能优化所以后来考虑采用多vue对象的形式(虽然我的思路是如果改变数据之后,vue将重新渲染html,导致页面卡死,但是后来仔细查资料之后,发现vue当数据改变之后会复用原来相同的html。但是由于时间的原因,也没试。大家可以考虑一下)
采用多vue对象的形式之后的页面
html
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js,panel组件
var panelsVueArr = [];var responseData;function createHtml(respData){ var indicatorResult = respData.indicatorResult; var indicators = []; for(var j=0;j"); $(".resultp").append(el[0]); var vueObj = new Vue({ el : el[0], template : ''+ '{{item.indicatorName}}({{item.indicatorUnit}}) '+ ''+ '
'+ '16?250:column.length*15">', props : ['item','mapOption'], data : { indicator : indicators[i], rowOrColumn : false, // 行列转换 tableOrMap : true, // 表和图切换 tableAndMap : true, // 表和图同时显示 indexid : i, mapInitOption : { title : { text : '', show : false }, tooltip : { trigger : 'item', formatter: '' }, legend : { data : [], right : 90, // 不要遮住右边的按钮 left : 85, padding : 10 }, toolbox : { show : true, feature : { mark : { show : true }, magicType : { show : true, type : ['line', 'bar'] }, restore : { show : true }, saveAsImage : { show : true } } }, grid : { y : '', y2 : '', containLabel : true }, calculable : true, xAxis : [{ type : 'category', boundaryGap : false, axisLabel : { interval : 0 // rotate : 45 } } ], yAxis : [{ type : 'value', axisLabel : { formatter : yAxisFormatter } } ] } // echarts 初始化参数 }, methods : { transpose : function (ev) { if (this.rowOrColumn) { this.item = this.listToRowObject(this.indicator); this.mapOption = this.listToRowMap(this.indicator); this.rowOrColumn = false; } else { this.item = this.listToColumnObject(this.indicator); this.mapOption = this.listToColumnMap(this.indicator); this.rowOrColumn = true; } var indicatorName = this.mapOption.title.text; var myChart = echarts.init(document.getElementById([indicatorName]),rmp_theme); var grid = computerGrid(this.mapOption); myChart.resize({ width : grid.chartWidth+"px", height : grid.chartHeight+"px" }); myChart.setOption(this.mapOption); ev.stopPropagation(); }, listToColumnObject : function (ListAndList) { var x_y = column.text+"\"+row.text; var itemTable ={}; var columnR = []; var tableData=[]; for (var yIndex in ListAndList.indicatorData) { var obj = {}; obj[x_y] = ListAndList.colKeys[yIndex]; for (var xIndex in ListAndList.indicatorData[yIndex]) { obj[ListAndList.rowKeys[xIndex]] =cellsDeal(ListAndList.indicatorData[yIndex][xIndex],ListAndList.indicatorUnit); } tableData.push(obj); } columnR.push(x_y); columnR = columnR.concat(ListAndList.rowKeys); itemTable["indicatorName"]=ListAndList.indicatorName; itemTable["tableData"] = tableData; itemTable["columns"]=columnR; itemTable["indicatorUnit"]=ListAndList.indicatorUnit; return itemTable; }, listToRowObject : function (ListAndList) { var itemTable ={}; var indicatorMap = {}; var indicatorData=[]; var y_x = row.text+"\"+column.text; var columnR = []; var tableData = []; columnR.push(y_x); columnR = columnR.concat(ListAndList.colKeys); indicatorData.push(ListAndList.rowKeys); indicatorData = indicatorData.concat(ListAndList.indicatorData); for (var k = 0; k 行:'+params.seriesName +'
'; html+='列:'+params.name +'
'; var showValue = params.value; if (typeof (showValue) == "undefined") { showValue = "NoData"; } else { // 图悬浮框 千分位+万 +单位 if (!isNaN(showValue)) { if (showValue > 10000) { showValue = toThousands((showValue / 10000).toFixed(1)) + $.i18n.get('chart.wan')+ myUnit; }else{ if(unitHandle=='%'){ showValue=parseFloat(showValue)*100; showValue = showValue.toFixed(1) + myUnit; }else{ showValue = showValue.toFixed(1) + myUnit; } } } } html+='值:'+showValue +''; return html; }; return sigleOption; }, listToRowMap : function (ListAndList) { /* var mapType; if(typeof(this.mapOptions)=='undefined'){ mapType='line'; }else{ mapType = echarts.getInstanceByDom(document.getElementById(ListAndList.indicatorNames[0])).getOption().series[0].type; }*/ var options = []; var sigleOption = {}; sigleOption = this.mapInitOption; // 实现深复制 var colKeys = JSON.parse(JSON.stringify(ListAndList.colKeys)); colKeys.pop(); sigleOption.xAxis[0]["data"] = colKeys; var indicatorName = ListAndList.indicatorName; sigleOption["title"]["text"] = indicatorName; var series = []; for (var k = 0; k 行:'+params.seriesName +'
'; html+='列:'+params.name +'
'; var showValue = params.value; if (typeof (showValue) == "undefined") { showValue = "NoData"; } else { // 图悬浮框 千分位+万 +单位 if (!isNaN(showValue)) { if (showValue > 10000) { showValue = toThousands((showValue / 10000).toFixed(1)) + $.i18n.get('chart.wan')+myUnit; }else{ if(unitHandle=='%'){ showValue=parseFloat(showValue)*100; showValue = showValue.toFixed(1) + myUnit; }else{ showValue = showValue.toFixed(1) + myUnit; } } } } html+='值:'+showValue +''; return html; }; return sigleOption; }, convert : function (ev) { if (this.tableAndMap) { this.tableAndMap = false; } else { this.tableAndMap = true; } var indicatorName = this.mapOption.title.text; var myChart = echarts.init(document.getElementById([indicatorName]),rmp_theme); var grid = computerGrid(this.mapOption); myChart.resize({ width : grid.chartWidth+"px", height : grid.chartHeight+"px" }); myChart.setOption(this.mapOption); ev.stopPropagation(); }, exportExcel : function (ev) { var listAndList = JSON.parse(JSON.stringify(this.indicator)); var rowTd = listAndList.rowKeys; var excellData = []; rowTd.splice(0, 0, listAndList.indicatorName+'('+listAndList.indicatorUnit+')'); excellData.push(rowTd); for (var i = 0; i 10000) { // 千分位 + 万 text = toThousands((value / 10000).toFixed(1)) + $.i18n.get('chart.wan'); } } if (value.formatter) { text = value.formatter.replace("{value}", text); } return text;}//格式化tooltipvar tooltipFormatter = function (params,ticket,callback) { console.log(params); var color = params.color; var html = '行:'+params.seriesName +''; html+='列:'+params.name +''; var showValue = params.value; if (typeof (showValue) == "undefined") { showValue = "NoData"; } else { // 图悬浮框 千分位+万 +单位 if (!isNaN(showValue)) { if (showValue > 10000||showValue值:'+showValue +''; console.log(html); return html;}// 数字格式处理 1,000,000function toThousands(num) { if (typeof (num) == 'undefined') { num = "" } num = num + '', result = ''; if (num.indexOf('%') > -1) { return num; } var s = ""; if (num.indexOf('.') > -1) { s = num.substring(num.indexOf('.'), num.length); num = num.substring(0, num.indexOf('.')); } var n = false; if (num.indexOf('-') > -1) { num = num.substring(1); n = true; } while (num.length > 3) { result = ',' + num.slice(-3) + result; num = num.slice(0, num.length - 3); } if (num != undefined) { result = num + result; } if (n) { result = "-" + result; } if(s=='.0'){ return result; } return result + s;}// 千分位与单位处理function cellsDeal(num,unit) { if (typeof (num) == 'undefined') { num = ""; } if(num===''){ return num; } num = num + '', result = ''; if (unit=='%') { num=parseFloat(num)*100; num = num.toFixed(1) + ''; if(num.indexOf(".")!=-1){ return num.substring(0,num.indexOf(".")+2)+"%"; }else{ return num+"%"; } } var s = ""; if (num.indexOf('.') > -1) { num=parseFloat(num).toFixed(1); s = num.substring(num.indexOf('.'), num.length); //小数位 num = num.substring(0, num.indexOf('.')); //整数位 } var n = false; if (num.indexOf('-') > -1) { num = num.substring(1); n = true; } while (num.length > 3) { result = ',' + num.slice(-3) + result; num = num.slice(0, num.length - 3); } if (num != undefined) { result = num + result; } if (n) { result = "-" + result; } if(unit.indexOf("/")!=-1){ s=s.substring(0,2); }else{ s=""; } return result + s;}/*动态计算echarts的grid属性 */function computerGrid(options){ // 图宽度 默认 var chartWidth = 810; // 图例占宽度比 var legendWidth = chartWidth * 0.8; // 图高度默认 var chartHeight = 250; // 图中grid离容器下边距高度默认 var bottomHeight = 25; // 图中grid离容器上边距高度默认 var topHeight = 40; // 根据x轴刻度数量 算宽度,如果超过默认 则使用计算值 if (options.xAxis[0].data.length * 30 - chartWidth > 0) { chartWidth = options.xAxis[0].data.length * 30; } // x轴刻度 最长的长度值 var maxLength = 0; var legendCount = 8; if (options.xAxis[0].data.length > legendCount) { options.xAxis[0].data.forEach(function(val) { if (maxLength 1) { topHeight += (rowNum - 1) * 23; } chartHeight += bottomHeight + topHeight; options.legend['width'] = legendWidth; options.grid.y2 = bottomHeight; options.grid.y = topHeight; if(chartWidth!='810'){ options.grid["x"]=40; } var columnAndRow = ['startProvince','startArea']; //始发省份和地区默认X轴旋转45度 if(options.xAxis[0].data[0].match('^(\d+)\+(\d+)')!=null||columnAndRow.indexOf(column.code)!=-1||columnAndRow.indexOf(row.code)!=-1){ options.xAxis[0].axisLabel['rotate']=45; }else{ options.xAxis[0].axisLabel['rotate']=0; } return {chartHeight:chartHeight,chartWidth:chartWidth};}登录后复制
上述代码实现了 echart图数据的格式化,和对数据的自适应。修改为上述方式之后发现性能提高了不止一个数量级。
上面是我整理给大家的,希望今后会对大家有帮助。
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