How to use Python regular expressions for XML processing

In daily data processing scenarios, data processing in different formats requires different parsing methods. For data in XML format, we can use regular expressions in Python for parsing. This article will introduce the basic ideas and methods of using Python regular expressions for XML processing.

1. XML basic introduction

XML (Extensible Markup Language) is a markup language used to describe data. It provides a structured method to represent data. . An important feature of XML is that you can customize tags, which makes XML format data more flexible and can adapt to various data format requirements.

XML tags are wrapped with angle brackets (6d267e5fab17ea8bc578f9e7e5e1570b), such as 8bf259f5a6144433b921fb8b7de94970. Each XML document must have a root node, which can contain any number and type of elements. The basic structure of an XML document is as follows:

<?xml version="1.0" encoding="UTF-8"?>
<root>
    <element1>
        <subelement1>value1</subelement1>
        <subelement2>value2</subelement2>
    </element1>
    <element2>
        <subelement3>value3</subelement3>
    </element2>
</root>

2. Python regular expression

Regular expression is a tool used to match strings. Its essence is A special kind of syntax. The re module in Python provides functions that support regular expressions.

• re.match(pattern, string, flags=0) Starts matching from the starting position of the string (i.e. the first character) and returns a Match object. If the match fails, None is returned.
• re.search(pattern, string, flags=0) Search in the string and return the first matching object (Match object). If the match fails, None is returned.
• re.findall(pattern, string, flags=0) Matches all matching substrings in the string and returns a list. If no match is found, an empty list is returned.

3. Use regular expressions to parse XML

In XML processing, we usually use regular expressions to parse elements and attributes in XML. The following is a specific example:

import re

xml_text = '''
<root>
    <person name="Tom" age="20">
        <job>Engineer</job>
    </person>
    <person name="Alice" age="25">
        <job>Doctor</job>
    </person>
</root>
'''

# 正则表达式
person_pattern = '<person.+?name="(.+?)".+?age="(.+?)".*?>.+?<job>(.*?)</job>.+?</person>'

# 使用search函数匹配字符串
result = re.findall(person_pattern, xml_text, re.S)
for person in result:
    name, age, job = person
    print("name:{}, age:{}, job:{}".format(name, age, job))

In the above code, an XML format text is first defined, and then a regular expression is defined to match the person element and its attributes. By using the re.findall matching function, all matching results are obtained.

In this example, we use a more complex regular expression. In the regular expression:

• . ? matches any character and is non-greedy matching to prevent other person elements from being included.
• .?? matches a question mark.
• .*? Matches any character, non-greedy matching, to prevent the inclusion of redundant tags.
• (. ?) defines a capturing group that represents the parsed attributes or text information.
• s matches any whitespace character.
• cb884f44f2f1937276917c04c3676183 Matches the closing tag.

In this way, we can easily parse out the specified elements and attributes in the XML data.

4. Notes

When using Python regular expressions for XML processing, we need to pay attention to the following points:

• Use non-greedy Pattern matching is performed to avoid parsing out redundant elements and tags and causing errors.
• Since XML can be nested, the matching range needs to be set to avoid incorrectly parsing the content of different nodes into the content of the same node.
• Python's regular expression corresponds to a string, so the XML text needs to be converted into a string for operation.
• For a complex XML file, it is recommended to use professional XML processing tools, such as lxml.

5. Summary

Python regular expression is a powerful text processing tool that can be used to parse data in various formats, including XML format data. By using regular expressions, we can easily parse elements and attributes in XML files. However, due to the complexity of the XML format, we need to think carefully and analyze it during processing to avoid matching errors.

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