XML data serialization and deserialization in Python

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Release: 2023-08-08 21:25:45
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XML data serialization and deserialization in Python

XML data serialization and deserialization in Python

XML (Extensible Markup Language) is a format used to store and transmit data and is widely used Used in a variety of different fields. In Python, we can use the built-in xml library to serialize and deserialize XML data. This article will introduce how to use the xml library in Python to serialize and deserialize XML data, and provide relevant code examples.

XML serialization is the process of converting Python objects into XML format. The XML format enables data exchange between different systems and applications and is easy to read and parse. The xml library in Python provides the ElementTree module, which can conveniently perform serialization and deserialization operations on XML data.

First, we need to import the ElementTree module of the xml library:

import xml.etree.ElementTree as ET
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Next, we can use the Element object of the ElementTree module to create an XML element. An element can be created by giving the element's name and attributes:

root = ET.Element("root")
root.set("version", "1.0")
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We can then use the SubElement method to create a sub-element under the root element:

child = ET.SubElement(root, "child")
child.text = "Hello, World!"
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By setting the element's attributes and text Content, we can create a simple XML structure. Next, we can use the ElementTree object to serialize the XML structure into a string:

xml_str = ET.tostring(root, encoding="utf-8").decode("utf-8")
print(xml_str)
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By calling the tostring method and specifying the encoding format, we can serialize the XML structure into a string and print it out. The output is as follows:

<root version="1.0"><child>Hello, World!</child></root>
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In this example, we create a root element "root" and a child element "child", and set the text content of the child element.

Next, let’s look at how to deserialize XML data. Let's say we have an XML file that contains some data. We can use the parse method of the ElementTree module to parse an XML file and convert it into an Element object:

tree = ET.parse("data.xml")
root = tree.getroot()
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We can parse an XML file into an Element object by calling the parse method and passing in the path to the XML file. We can then get the root element of the XML file using the getroot method.

Next, we can use the properties and methods of the Element object to access and manipulate XML data. For example, we can use the find method to find an element with a specified name:

child = root.find("child")
print(child.text)
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By calling the find method and passing in the name of the element, we can find an element with a specified name. We can then use the text attribute to get the text content of the element and print it out.

Through the above code examples, you can see that the xml library in Python provides a simple and effective method to serialize and deserialize XML data. Whether you are serializing a Python object into an XML-formatted string or deserializing an XML file into an Element object, it can all be done easily. This will provide us with convenience and flexibility in processing XML data.

To summarize, this article introduces how to use the xml library in Python to serialize and deserialize XML data, and provides corresponding code examples. I hope these examples can help readers better understand and apply relevant knowledge of XML data processing.

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