Dom4j解析xml内容——(三)

Dom4j取标签中的内容用 getText ,取开始标签和结束标签之间的值。

取属性值有两种方式:

aaarticlea/png;base64,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" alt="" />

Jar包:

aaarticlea/png;base64,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" alt="" />

XML原型:

<?xml version="1.0" encoding="utf-8"?>

<书架>
<书>
<书名>Java高级</书名>
<作者>武陟县</作者>
<价格>200元</价格>
</书>
<书>
<书名 name="xxxxxxxxxxx">Java中级</书名>
<作者>打火机</作者>
<价格>2000元</价格>
</书>
</书架>

Java类

 package Dom4j_XMLParser;

 import java.io.File;

 import org.dom4j.Attribute;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.io.SAXReader;
import org.junit.Test; public class Demo1 { // 获取第二本书的书名
@Test
public void test1() throws Exception {
// 创建SAX读取器
SAXReader reader = new SAXReader();
// 加载文档
Document document = reader.read(new File("src/book.xml"));
// 获取根节点(书架)
Element root = document.getRootElement();
// 获取根节点下的书节点,带s返回一个数组,再取数组的第二个
Element book = (Element) root.elements("书").get(1);
// 获取树下面的书名属性
Element shuming = book.element("书名");
// 获取书名开始标签与结束标签之间的值
String value = shuming.getText();
System.out.println(value); } // 获取第二本书的书名中的属性 <书名 name="xxxxxxxxxxx">Java中级</书名>
@Test
public void test2() throws Exception {
SAXReader reader = new SAXReader();
Document document = reader.read(new File("src/book.xml"));
Element root = document.getRootElement(); Element book = (Element) root.elements("书").get(1);
Element shuming = book.element("书名"); // 第一中方法
// 获取name属性
Attribute attribute = shuming.attribute("name");
// 获取name属性的值
String attrValue = attribute.getValue();
// 获取书名开始标签与结束标签之间的值
System.out.println(attrValue); //xxxxxxxxx // 第二种方法(获取书名节点的name属性的值)
System.out.println(shuming.attributeValue("name")); //xxxxxxxx }
}
上一篇:Linux根据MAC地址自动设置IP


下一篇:python:字典嵌套列表