Python编程:xlm文件读写

简介: Python编程:xlm文件读写

xml文件增删改查


先引入解析xml文档的模块

import xml.etree.ElementTree as ET
tree = ET.parse("data.xml")  # 解析文档
root = tree.getroot()  # 获取根节点
print(root)
print(root.tag)

读取

# 遍历文档
for child in root:
    print(child.tag, child.attrib)
    for i in child:
        print(i.tag, i.attrib, i.text)
# 只遍历year节点
for nood in root.iter("year"):
     print(nood.tag, nood.text)

修改

for node in root.iter("year"):
    new_year = int(node.text) + 1
    node.text = str(new_year)
    node.set("update_by", "Tom")
tree.write("data.xml") # 修改后需要保存

删除

for country in root.findall("country"):
    rank = int(country.find("rank").text)
    if rank >50:
        root.remove(country)
tree.write("data.xml")  # 修改后需要保存

创建

new_xml = ET.Element("personlist")
person = ET.SubElement(new_xml, "person", attrib={"enrolled": "yes"})
name1 = ET.SubElement(person, "name")
name1.text = "Tom"
age = ET.SubElement(person, "age", attrib={"checked": "no"})
age.text = "33"
sex = ET.SubElement(person, "sex")
sex.text = 'man'
person2 = ET.SubElement(new_xml, "person", attrib={"enrolled": "no"})
name2 = ET.SubElement(person2, "name")
name2.text = "Jimi"
age2 = ET.SubElement(person2, "age")
age2.text = '19'
sex2 = ET.SubElement(person2, "sex")
sex2.text = "women"
et = ET.ElementTree(new_xml)  # 生成文档对象
et.write("test.xml", encoding="utf-8", xml_declaration=True)  # 写入文件
ET.dump(new_xml)  # 打印生成的格式

help(ET)

"""
Each Element has a number of properties associated with it:
       'tag' - a string containing the element's name.
       'attrib' - a Python dictionary storing the element's attributes.
       'text' - a string containing the element's text content.
       'tail' - an optional string containing text after the element's end tag.
    class Element(builtins.object)
     |  
     |  append(...)
     |  
     |  clear(...)
     |  
     |  extend(...)
     |  
     |  find(...)
     |  
     |  findall(...)
     |  
     |  findtext(...)
     |  
     |  get(...)
     |  
     |  getchildren(...)
     |  
     |  getiterator(...)
     |  
     |  insert(...)
     |  
     |  items(...)
     |  
     |  iter(...)
     |  
     |  iterfind(...)
     |  
     |  itertext(...)
     |  
     |  keys(...)
     |  
     |  makeelement(...)
     |  
     |  remove(...)
     |  
     |  set(...)
    class ElementTree(builtins.object)
     |  
     |  Methods defined here:
     |  
     |  __init__(self, element=None, file=None)
     |  
     |  find(self, path, namespaces=None)
     |      Find first matching element by tag name or path.
     |      Return the first matching element, or None if no element was found.
     |  
     |  findall(self, path, namespaces=None)
     |      Find all matching subelements by tag name or path.
     |      Return list containing all matching elements in document order.
     |  
     |  findtext(self, path, default=None, namespaces=None)
     |      Find first matching element by tag name or path.
     |      Return the first matching element, or None if no element was found.
     |  
     |  getiterator(self, tag=None)
     |      # compatibility
     |  
     |  getroot(self)
     |      Return root element of this tree.
     |  
     |  iter(self, tag=None)
     |      Create and return tree iterator for the root element.
     |  
     |  iterfind(self, path, namespaces=None)
     |      Find all matching subelements by tag name or path.
     |      Return an iterable yielding all matching elements in document order.
     |  
     |  parse(self, source, parser=None)
     |      Load external XML document into element tree.
     |      Returns the root element of the given source document.
     |  
     |  write(self, file_or_filename, encoding=None, xml_declaration=None, default_namespace=None, method=None, *, short_empty_elements=True)
     |      Write element tree to a file as XML.
     |  ----------------------------------------------------------------------
FUNCTIONS
    Comment(text=None)
        Comment element factory.
    PI = ProcessingInstruction(target, text=None)
        Processing Instruction element factory.
    ProcessingInstruction(target, text=None)
        Processing Instruction element factory.
    SubElement(...)
    XML(text, parser=None)
        Parse XML document from string constant.
        Returns an Element instance.
    XMLID(text, parser=None)
        Parse XML document from string constant for its IDs      
        Returns an (Element, dict) tuple, in which the
        dict maps element id:s to elements.
    dump(elem)
        Write element tree or element structure to sys.stdout.
    fromstring = XML(text, parser=None)
        Parse XML document from string constant.
        Returns an Element instance.
    fromstringlist(sequence, parser=None)
        Parse XML document from sequence of string fragments.
        Returns an Element instance.
    iselement(element)
        Return True if *element* appears to be an Element.
    iterparse(source, events=None, parser=None)
        Incrementally parse XML document into ElementTree.
        Returns an iterator providing (event, elem) pairs.
    parse(source, parser=None)
        Parse XML document into element tree.
        Return an ElementTree instance.
    register_namespace(prefix, uri)
        Register a namespace prefix.
    tostring(element, encoding=None, method=None, *, short_empty_elements=True)
        Generate string representation of XML element.     
        Returns an (optionally) encoded string containing the XML data.
    tostringlist(element, encoding=None, method=None, *, short_empty_elements=True)
"""
相关文章
|
3月前
|
数据采集 机器学习/深度学习 人工智能
Python:现代编程的首选语言
Python:现代编程的首选语言
319 102
|
3月前
|
数据采集 机器学习/深度学习 算法框架/工具
Python:现代编程的瑞士军刀
Python:现代编程的瑞士军刀
345 104
|
3月前
|
人工智能 自然语言处理 算法框架/工具
Python:现代编程的首选语言
Python:现代编程的首选语言
276 103
|
3月前
|
机器学习/深度学习 人工智能 数据挖掘
Python:现代编程的首选语言
Python:现代编程的首选语言
206 82
|
2月前
|
Python
Python编程:运算符详解
本文全面详解Python各类运算符,涵盖算术、比较、逻辑、赋值、位、身份、成员运算符及优先级规则,结合实例代码与运行结果,助你深入掌握Python运算符的使用方法与应用场景。
219 3
|
2月前
|
数据处理 Python
Python编程:类型转换与输入输出
本教程介绍Python中输入输出与类型转换的基础知识,涵盖input()和print()的使用,int()、float()等类型转换方法,并通过综合示例演示数据处理、错误处理及格式化输出,助你掌握核心编程技能。
483 3
|
2月前
|
并行计算 安全 计算机视觉
Python多进程编程:用multiprocessing突破GIL限制
Python中GIL限制多线程性能,尤其在CPU密集型任务中。`multiprocessing`模块通过创建独立进程,绕过GIL,实现真正的并行计算。它支持进程池、队列、管道、共享内存和同步机制,适用于科学计算、图像处理等场景。相比多线程,多进程更适合利用多核优势,虽有较高内存开销,但能显著提升性能。合理使用进程池与通信机制,可最大化效率。
300 3
|
2月前
|
监控 机器人 编译器
如何将python代码打包成exe文件---PyInstaller打包之神
PyInstaller可将Python程序打包为独立可执行文件,无需用户安装Python环境。它自动分析代码依赖,整合解释器、库及资源,支持一键生成exe,方便分发。使用pip安装后,通过简单命令即可完成打包,适合各类项目部署。
|
2月前
|
Java 调度 数据库
Python threading模块:多线程编程的实战指南
本文深入讲解Python多线程编程,涵盖threading模块的核心用法:线程创建、生命周期、同步机制(锁、信号量、条件变量)、线程通信(队列)、守护线程与线程池应用。结合实战案例,如多线程下载器,帮助开发者提升程序并发性能,适用于I/O密集型任务处理。
312 0
|
3月前
|
数据采集 机器学习/深度学习 人工智能
Python:现代编程的多面手
Python:现代编程的多面手
93 0

推荐镜像

更多