Echarts实现多条折线可拖拽效果
编程学习 2021-07-04 15:02www.dzhlxh.cn编程入门
这篇文章主要为大家详细介绍了Echarts实现多条折线可拖拽效果，文中示例代码介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们可以参考一下
本文实例为大家分享了Echarts多条折线可拖拽的具体代码，供大家参考，具体内容如下
1、步骤：
1)、封装Echarts折线图方法manyLineChart(),提取出公共的部分；
2)、AJax获取后台数据传参至Echarts公共方法；
3)、模拟后台获取的json数据；
4)、给dayComment()方法值，开始执行。
2、效果：
3、代码：
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts多条折线可拖拽</title>
<script src="http://code.jquery.com/jquery-1.4.1.min.js"></script>
<!-- 引入 echarts.js -->
<script src="http://echarts.baidu.com/examples/vendors/echarts/echarts.min.js?_v_=1526486305040"></script>
</head>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id='consume_many_line' style="width:600px;height:400px;margin-left:20px;"> </div>
</body>
</html>
<script type="text/javascript">
/**
* @todo 加载echarts方法
* @url:异步请求路径
* @chartId:请求的echart的id
* @xname:X轴名称
* @title:标题
*/
function dayComment(url,chartId,xname, title) {
/*$.ajax({//Ajax请求你要展现的数据
url :url,
type : 'post',
cache : false,
dataType : 'json',
async:false, //改为同步
data : { }, //查看方式
success : function(data) {
manyLineChart(chartId, title, xname ,data.legendData, data.xAxisData, data.yAxisData, data.fromTime, data.toTime);
},
error : function() {
alert('服务器异常！')
}
});*/
var data = getStaticJsonData();
manyLineChart(chartId, title, xname ,data.legendData, data.xAxisData, data.yAxisData, data.fromTime, data.toTime);
}
/**
* @todo 多条线折线图可拖拽
* @param chartId 插件的div的ID
* @param textname 标题
* @param xAxisName X轴的名字
* @param legendData 图示的数据
* @param xAxisData X轴的数据
* @param yAxisData Y轴的数据[数组]
* @param fromTime 默认开始节点
* @param toTime 默认结束节点
* */
function manyLineChart( chartId, textname, xAxisName, legendData, xAxisData, yAxisData, fromTime, toTime ){
var lineCount = legendData.length; //折线的条数
var seriesArray = [];
//循环得到Y轴的数据
for(var x=0; x<lineCount; x++){
seriesArray[x] = {name:legendData[x],type:'line',data:yAxisData[x]};
}
var myChart = echarts.init(document.getElementById( chartId ));
var option = {
//color:['red', 'black', 'green', 'blue', 'orange'],
color:["#ff7f50","#87cefa","#da70d6","#32cd32","#6495ed","#ff69b4","#ba55d3","#cd5c5c","#ffa500","#40e0d0",
"#1e90ff","#ff6347","#7b68ee", "#00fa9a","#ffd700","#6699FF","#ff6666","#3cb371","#b8860b","#30e0e0"], //[数组]颜色，按照设置的循环
title: {
text: textname,
left: 'center'
},
tooltip: {
trigger: 'axis',
},
toolbox: {
show : true,
feature : {
magicType : {show: true, type: ['line', 'bar']},
dataView : {show: true},
}
},
legend: {
left: 'left',
data: legendData,
top:30,
},
calculable : true,
dataZoom : {
show : true,
realtime : true,
startValue: fromTime, //拖拽条开始时间
endValue: toTime, //拖拽条结束时间
},
xAxis: {
type: 'category',
name: xAxisName,
splitLine: {show: false},
data: xAxisData,
},
yAxis: {
type: 'value',
},
series: seriesArray
};
// 使用刚指定的配置项和数据显示图表。
myChart.setOption( option );
};
//模拟AJax请求获取返回的json数据
function getStaticJsonData(){
var data = '{"legendData":["A\\u6d88\\u8d39","B\\u6d88\\u8d39","C\\u6d88\\u8d39","D\\u6d88\\u8d39","E\\u6d88\\u8d39"],"xAxisData":["20180417","20180418","20180419","20180420","20180421","20180422","20180423","20180424","20180425","20180426","20180427","20180428","20180429","20180430","20180501","20180502","20180503","20180504","20180505","20180506","20180507","20180508","20180509","20180510","20180511","20180512","20180513","20180514","20180515","20180516","20180517","20180518","20180519","20180520","20180521","20180522","20180523","20180524","20180525","20180526","20180527","20180528","20180529","20180530","20180531","20180601","20180602","20180603","20180604","20180605","20180606"],"yAxisData":[["8786.00","8676.00","9112.00","8066.00","5664.00","3728.00","8708.00","8658.00","85442.00","8028.00","7786.00","7358.00","3654.00","3274.00","3052.00","7524.00","3466.00","8796.00","6136.00","3568.00","8202.00","8222.00","8198.00","8510.00","7728.00","5324.00","3922.00","8846.00","8210.00","8646.00","7986.00","8018.00","6142.00","3444.00","79578.00","7806.00","7552.00","7344.00","7800.00","4626.00","3724.00","7946.00","8034.00","7320.00","7830.00","1234.00","2345.00","6789.00","7890.00","1314.00","5201.00"],["2261.91","1846.33","2393.24","1820.55","377.57","224.30","2326.34","1900.70","2709.85","2442.71","2569.75","2677.25","130.00","68.00","36.00","1070.98","1863.58","1607.55","521.36","296.18","1715.53","2037.64","2444.29","2505.96","2790.07","864.44","558.53","2737.92","2543.09","2674.00","2951.14","3406.87","892.22","633.30","2124.54","2111.44","1825.25","1633.61","1479.48","789.10","327.23","2511.37","2009.50","1836.02","2661.11","2696.25","714.04","376.55","2082.04","1479.29","3385.61"],["2561.00","2691.00","2131.00","2583.00","1750.00","1001.00","2612.00","2356.00","2534.00","2771.00","2025.00","2190.00","1037.00","954.00","801.00","2386.00","2492.00","2934.00","1430.00","897.00","2507.00","2548.00","2363.00","2760.00","2476.00","1644.00","1030.00","2861.00","2853.00","2999.00","2269.00","2060.00","2201.00","987.00","2731.00","2723.00","2660.00","2762.00","2445.00","1319.00","9552.00","275.00","2846.00","2626.00","2598.00","2750.00","1968.00","1001.00","2390.00","2574.00","3097.00"],["3270.00","4266.00","6950.00","3264.00","3898.00","770.00","2856.00","4744.00","4876.00","4814.00","4028.00","3038.00","1024.00","1108.00","692.00","30136.00","3016.00","3892.00","2392.00","920.00","4042.00","3492.00","3466.00","5206.00","7908.00","3322.00","908.00","4184.00","4696.00","3654.00","4416.00","4564.00","4580.00","808.00","5826.00","4554.00","4588.00","4408.00","4200.00","2514.00","906.00","3338.00","3706.00","4320.00","4060.00","4008.00","2464.00","754.00","3912.00","5032.00","3834.00"],["5557.91","4970.56","4389.10","4966.10","4452.77","711.80","4139.45","4581.69","3089.34","4306.57","4909.15","1838.72","281.56","472.67","174.98","5130.81","7155.56","4844.09","1768.51","497.72","2902.13","3865.80","3651.81","5248.23","4780.90","2362.47","250.92","5030.40","3443.63","5095.00","4278.02","2877.35","2944.94","637.02","4507.43","3942.91","3507.04","3611.03","5200.38","2449.68","653.43","3543.92","4231.95","4644.98","4270.29","3314.63","2303.49","679.44","1173.68","6433.01","5827.75"]],"fromTime":"20180531","toTime":"20180606"}';
data = eval('(' + data + ')');
return data;
}
dayComment( 'Ajax请求路径', 'consume_many_line', '日期', '用户消费'); //执行
</script>
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持狼蚁SEO。