• jquery解析XML


    xml文件结构:books.xml
    <?xml version="1.0" encoding="UTF-8"?>
    <root>
        
    <book id="1">
            
    <name>深入浅出extjs</name>
            
    <author>张三</author>
            
    <price>88</price>
        
    </book>
        
    <book id="2">
            
    <name>锋利的jQuery</name>
            
    <author>李四</author>
            
    <price>99</price>
        
    </book>
        
    <book id="3">
            
    <name>深入浅出flex</name>
            
    <author>王五</author>
            
    <price>108</price>
        
    </book>
        
    <book id="4">
            
    <name>java编程思想</name>
            
    <author>钱七</author>
            
    <price>128</price>
        
    </book>
    </root>
    页面代码:
    <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
    <html>
    <head>
    <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
    <title>jquery解析xml</title>
    <script type="text/javascript" src="js/jquery-1.4.2.min.js"></script>
    <script type="text/javascript">
        $(
    function(){
            $.post('books.xml',
    function(data){
                
    //查找所有的book节点
                var s="";
                $(data).find('book').each(
    function(i){
                    
    var id=$(this).attr('id');
                    
    var name=$(this).children('name').text();
                    
    var author=$(this).children('author').text();
                    
    var price=$(this).children('price').text();
                    s
    +=id+"&nbsp;&nbsp;&nbsp;&nbsp;"+name+"&nbsp;&nbsp;&nbsp;&nbsp;"+author+"&nbsp;&nbsp;&nbsp;&nbsp;"+price+"<br>";
                }
    );
                $('#mydiv').html(s);
            }
    );
        }
    );
    </script>
    </head>
    <body>
        
    <div id='mydiv'></div>
    </body>
    </html>
    效果图:
    转自:http://www.blogjava.net/sxyx2008/archive/2010/07/10/325719.html
  • 相关阅读:
    7.21
    7.14
    7.7
    大学生失物招领平台使用体验及改进意见
    cdh集群迁移 ip更改
    klearn.preprocessing.PolynomialFeatures学习
    二元线性回归
    python学习之numpy.ewaxis
    sklearn.linear_model.LinearRegresion学习
    一元线性回归-梯度下降法-房价预测
  • 原文地址:https://www.cnblogs.com/zhangqs008/p/3618457.html
Copyright © 2020-2023  润新知