python如何查找对应的xml子节点
时间: 2023-08-11 21:17:33 浏览: 320
在Python中,可以使用xml.etree.ElementTree模块来查找对应的XML子节点。具体的操作步骤如下:
1.导入xml.etree.ElementTree模块
```python
import xml.etree.ElementTree as ET
```
2.使用ET.parse()函数解析XML文件,得到一个ElementTree对象
```python
tree = ET.parse('example.xml')
```
3.从ElementTree对象中获取根节点
```python
root = tree.getroot()
```
4.使用find()或findall()函数查找对应的子节点
```python
# 查找第一个符合条件的子节点
child = root.find('child_node')
# 查找所有符合条件的子节点
children = root.findall('child_node')
```
其中,find()函数只返回第一个符合条件的子节点,而findall()函数会返回所有符合条件的子节点,返回的数据类型为一个列表。在函数中,可以使用XPath表达式来指定子节点的查找条件,例如:
```python
# 查找name为'John'的子节点
child = root.find("./child_node[@name='John']")
# 查找age大于18的所有子节点
children = root.findall("./child_node[age > 18]")
```
需要注意的是,XPath表达式中的属性值必须使用单引号或双引号括起来。
阅读全文
相关推荐


















