search
HomeBackend DevelopmentPython TutorialDetailed introduction to xml of python serialization function

This article mainly introduces the xml of Python serialization function in detail, which has certain reference value. Interested friends can refer to it.

<diva_list>
    <diva>
        <state>1</state>
        <year>1978</year>
        <album_sales_volume>27804358</album_sales_volume>
        <album></album>
        <album></album>
    </diva>
    <diva>
        <state>2</state>
        <year>1982</year>
     <album_sales_volume>8273371</album_sales_volume>
        <album></album>
        <album></album>
    </diva>
</diva_list>

The above is an example of an xml text. If you want To process xml text, you need to import a module.

import xml.etree.ElementTree as ET

#Because the name of the xml module is too long, I used as to give it an alias, called ET.

ET.parse() reads xml text directly from the file and parses the xml text into an xml tree object.

tree = ET.parse("diva.xml")

Get the root node of the xml tree.

root = tree.getroot()

Get the label (name) of the root node.

root.tag

#Traverse xml document

for child in root:

print(child.tag, child.attrib)

for i in child:

print(i.tag,i.text)

Attention! If you want to get the child nodes under the xml text, you must get it through the root node. Add .tag after any node to get the tag name in the node. Add .text to any node to get the content contained in each node. , attrib can get the attributes that exist in the label in the node.

#Get the text content in the album_sales_volume label of each child node.

for i in root.iter("album_sales_volume"):

print i.text

#If you want to get the attributes in the label, directly change text to attrib That’s it.

Modification:

for node in root.iter('year'):

new_year = int(node.text) + 1

node. text = str(new_year) #Modify content

node.set("flop","no") #Modify label attributes.

tree.write("xmltest.xml")

Delete:

for country in root.findall('country'):

rank = int(country.find('rank').text)

if rank > 50:

root.remove(country)

tree.write('output. xml')

root.findall() is used to search starting from the root node and find the child node with the specified name.

root.remove() is used to delete a node.

Generate xml text.

import xml.etree.ElementTree as ET

new_xml = ET.Element("namelist")

name = ET.SubElement(new_xml,"name",attrib= {"enrolled":"yes"})

age = ET.SubElement(name,"age",attrib={"checked":"no"})

sex = ET. SubElement(name,"sex")

sex.text = '33'

name2 = ET.SubElement(new_xml,"name",attrib={"enrolled":"no"} )

age = ET.SubElement(name2,"age")

age.text = '19'

et = ET.ElementTree(new_xml) #Generate document object

et.write("test.xml", encoding="utf-8",xml_declaration=True)

ET.dump(new_xml) #Print the generated format

The above is the detailed content of Detailed introduction to xml of python serialization function. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

Learn the Differences Between Python's 'for' and 'while' LoopsLearn the Differences Between Python's 'for' and 'while' LoopsMay 08, 2025 am 12:11 AM

ThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un

Python concatenate lists with duplicatesPython concatenate lists with duplicatesMay 08, 2025 am 12:09 AM

In Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.