本文引用自:http://blog.csdn.net/ArcticFoxHan/article/details/38071641
 

1.导入包，搭建SSH框架

导入Jquery的JS包，<script src="JS/jquery.1.7.1.js"></script>

导入ECharts的包。<script src="http://s1.bdstatic.com/r/www/cache/ecom/esl/1-6-10/esl.js"></script>

前提你的SSH已经搭好了，数据已经传递到了Struts层。

2.在Action层，将数据封装成JSON对象，并通过ServletResponse对象输出

我的实际功能是讲实际电量数据和计划电量数据显示的Echarts图表上。将实际电量和计划电量均放在ArrayList中，然后将这两个ArrayList放到一个ArrayList中，比如叫merge。之后将merge对象封装到JSONArray中，这时的JSONArray其实存的是两个一位数组，然后将这个JSONArray对象通过Servlet的Response对象输出，请求这个方法的JSP会获得这个对象。

 public String getAllPower() {

         HttpServletRequest request = ServletActionContext.getRequest();

         HttpServletResponse response = ServletActionContext.getResponse();

         try {

             request.setCharacterEncoding("utf-8");

             response.setCharacterEncoding("utf-8");

         } catch (UnsupportedEncodingException e) {

             // TODO Auto-generated catch block

             e.printStackTrace();

         }

         List<Power> powers = powerCompareService.getAllPower();

         // 获取实际电量和计划电量

         List actualPowerList = new ArrayList();

         List expectedPowerList = new ArrayList();

         for (Power power : powers) {

             actualPowerList.add(power.getActualPower());

             expectedPowerList.add(power.getExpectedPower());

         }

         List<List> merge = new ArrayList();

         merge.add(actualPowerList);

         merge.add(expectedPowerList);

         JSONArray jsonArray = JSONArray.fromObject(merge);

         try {

             response.setHeader("Cache-Control", "no-cache");

             response.setContentType("aplication/json;charset=UTF-8");

             response.getWriter().print(jsonArray);

         } catch (IOException e) {

             // TODO Auto-generated catch block

             e.printStackTrace();

         }

         // request.setAttribute("list_powers", powers);

         // return "success";

         return null;

     }

注意需要return null；因为不希望struts导航到其他的地方，而是通过JQuery Ajax来请求。

3.JqueryAjax请求JSON数据

<%@ page language="java" import="java.util.*" pageEncoding="UTF-8"%>  

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">

<head>

<meta charset="utf-8">

<title>ECharts</title>

<!-- 来自百度CDN -->

<script src="http://s1.bdstatic.com/r/www/cache/ecom/esl/1-6-10/esl.js"></script>

<script src="JS/jquery-1.7.1.js"></script>

</head>

<body>

    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->

    <div id="main1" style="height:400px"></div>

    <button type="button" id="button1">显示/隐藏</button>

    <script type="text/javascript">

        $(function() {

            $("#button1").click(function() {

                $("#main1").slideToggle(999);

            });

        });

        var actualPower = new Array();

        var expectedPower = new Array();

        $.ajax({

            url : 'Power.action',

            type : 'GET',

            dataType : 'json',

            async : false,

            success : function(jsonArray) {

                for (x in jsonArray[0]) {

                    actualPower[x] = jsonArray[0][x];

                }

                for (x in jsonArray[0]) {

                    expectedPower[x] = jsonArray[1][x];

                }

            }

        });

        // 路径配置

        require.config({

            paths : {

                'echarts' : 'http://echarts.baidu.com/build/echarts',

                'echarts/chart/bar' : 'http://echarts.baidu.com/build/echarts'

            }

        });  

        // 使用

        require([ 'echarts', 'echarts/chart/bar' // 使用柱状图就加载bar模块，按需加载

        ], function(ec) {

            // 基于准备好的dom，初始化echarts图表

            var myChart = ec.init(document.getElementById('main1'));  

            var option = {

                title : {

                    text : '发电量对比',

                    subtext : '模拟测试'

                },

                tooltip : {

                    trigger : 'axis'

                },

                legend : {

                    data : [ '逆变器', '汇流箱', '发电单元1', '发电单元2' ]

                },

                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',

                    data : [ '1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月',

                            '9月', '10月', '11月', '12月' ]

                } ],

                yAxis : [ {

                    type : 'value'

                } ],

                series : [ {

                    name : '逆变器',

                    type : 'line',

                    data : actualPower,

                    markPoint : {

                        data : [ {

                            type : 'max',

                            name : '最大值'

                        }, {

                            type : 'min',

                            name : '最小值'

                        } ]

                    },

                    markLine : {

                        data : [ {

                            type : 'average',

                            name : '平均值'

                        } ]

                    }

                }, {

                    name : '汇流箱',

                    type : 'bar',

                    data : actualPower,

                    markPoint : {

                        data : [ {

                            type : 'max',

                            name : '最大值'

                        }, {

                            type : 'min',

                            name : '最小值'

                        } ]

                    },

                    markLine : {

                        data : [ {

                            type : 'average',

                            name : '平均值'

                        } ]

                    }

                }, {

                    name : '发电单元1',

                    type : 'bar',

                    data : actualPower,

                    markPoint : {

                        data : [ {

                            type : 'max',

                            name : '最大值'

                        }, {

                            type : 'min',

                            name : '最小值'

                        } ]

                    },

                    markLine : {

                        data : [ {

                            type : 'average',

                            name : '平均值'

                        } ]

                    }

                }, {

                    name : '发电单元2',

                    type : 'bar',

                    data : expectedPower,

                    markPoint : {

                        data : [ {

                            name : '年最高',

                            value : 182.2,

                            xAxis : 7,

                            yAxis : 183,

                            symbolSize : 18

                        }, {

                            name : '年最低',

                            value : 2.3,

                            xAxis : 11,

                            yAxis : 3

                        } ]

                    },

                    markLine : {

                        data : [ {

                            type : 'average',

                            name : '平均值'

                        } ]

                    }

                } ]

            };  

            // 为echarts对象加载数据

            myChart.setOption(option);

        });

    </script>

</body>

$.ajax({
            url : 'Power.action',
            type : 'GET',
            dataType : 'json',
            async : false,
            success : function(jsonArray) {
                for (x in jsonArray[0]) {
                    actualPower[x] = jsonArray[0][x];
                }
                for (x in jsonArray[0]) {
                    expectedPower[x] = jsonArray[1][x];
                }
            }
        });

其中 url的参数是请求的action

dataType数据类型选择json

success是请求成功后的返回,jsonArray就是请求成功，上面的Action的方法通过Servlet传递过来的Json对象。二维数组jsonArray[0]直接能获取到第一个封装的ArrayList，而jsonArray[0][x]获取到ArrayList中的第x个数据。4.Echarts

Echarts中的图表数据填充就是Array()对象。

data:actualPower，

这里直接填充了JSON传递过来的数据。

5.显示效果图

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" 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