Python parses specific attribute data in XML

Python parses specific attribute data in XML

XML (Extensible Markup Language) is a language for storing and transmitting data, commonly used for various data Exchange and storage solutions. When using Python to process XML data, we often need to extract data of specific attributes from XML. This article will introduce how to use Python to parse specific attribute data in XML files and provide code examples.

First, we need to install a Python library to process XML data. In Python, there are several commonly used libraries for this task, such as xml.etree.ElementTree and xml.dom.minidom. This article will use xml.etree.ElementTree as an example.

First, we need to import the xml.etree.ElementTree library and use its parse function to parse the XML file. The following is the content of a sample XML file (data.xml):

<students>
    <student id="1">
        <name>Tom</name>
        <age>18</age>
    </student>
    <student id="2">
        <name>Alice</name>
        <age>20</age>
    </student>
    <student id="3">
        <name>Bob</name>
        <age>19</age>
    </student>
</students>

Next, we can use the following code to parse the XML file and extract data for specific attributes:

import xml.etree.ElementTree as ET

# 解析XML文件
tree = ET.parse('data.xml')

# 获取根节点
root = tree.getroot()

# 遍历所有学生节点
for student in root.findall('student'):
    # 获取学生节点的id属性值
    student_id = student.get('id')
    
    # 获取学生节点下的name和age子节点的文本内容
    name = student.find('name').text
    age = student.find('age').text
    
    # 打印学生信息
    print(f"Student ID: {student_id}")
    print(f"Name: {name}")
    print(f"Age: {age}")
    print()

In the above code, We first use the ET.parse function to parse the XML file and use tree.getroot() to get the root node. Then, use the root.findall function to find all child nodes named "student", and obtain the id attribute value of each student node through the .get method. Then use the .find method to find the "name" and "age" sub-nodes under the student node, and use the .text attribute to obtain its text content.

Finally, we print out each student’s information. The following is the output of the code:

Student ID: 1
Name: Tom
Age: 18

Student ID: 2
Name: Alice
Age: 20

Student ID: 3
Name: Bob
Age: 19

With the above example, we can see how to use Python to parse an XML file and extract data for specific attributes. According to actual needs, we can locate and extract the required data based on the hierarchical relationship and attribute names of nodes.

To summarize, Python provides powerful libraries to process XML data. Using the xml.etree.ElementTree library, we can easily parse the XML file and extract the data for the specific attributes we need. The above sample code will help you process XML data more efficiently in real projects.

Code example:

import xml.etree.ElementTree as ET

# 解析XML文件
tree = ET.parse('data.xml')

# 获取根节点
root = tree.getroot()

# 遍历所有学生节点
for student in root.findall('student'):
    # 获取学生节点的id属性值
    student_id = student.get('id')
    
    # 获取学生节点下的name和age子节点的文本内容
    name = student.find('name').text
    age = student.find('age').text
    
    # 打印学生信息
    print(f"Student ID: {student_id}")
    print(f"Name: {name}")
    print(f"Age: {age}")
    print()

Output example:

Student ID: 1
Name: Tom
Age: 18

Student ID: 2
Name: Alice
Age: 20

Student ID: 3
Name: Bob
Age: 19

The above is the method and sample code for using Python to parse specific attribute data in XML. Hope this article is helpful to you!

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