Python中使用dom模块生成XML文件示例
在Python中解析XML文件也有Dom和Sax两种方式,这里先介绍如何是使用Dom解析XML,这一篇文章是Dom生成XML文件,下一篇文章再继续介绍Dom解析XML文件。
在生成XML文件中,我们主要使用下面的方法来完成。
主要方法
1、生成XML节点(node)
代码如下:
createElement("node_name")
2、给节点添加属性值(Attribute)
代码如下:
node.setAttribute("att_name", "arr_value")
3、节点的标签值(data)
代码如下:
createTextNode("node_value")
其中第1、3点在创建完节点(节点值)之后,还需使用下面的方法添加到指点的节点的位置下面:
代码如下:
prev_node.appendChild(cur_node)
这里的prev_node要添加节点的上一层节点,而cur_node即为当前要添加的节点了。
代码演示
下面用代码来演示下如何使用Dom来生成XML,这个是简单版本,如下:
代码如下:
'''
Created on 2012-8-28
@author: walfred
@module: domxml.genXML
@description:
'''
import xml.dom.minidom as Dom
if __name__ == "__main__":
doc = Dom.Document()
root_node = doc.createElement("book_store")
root_node.setAttribute("name", "newhua")
root_node.setAttribute("website", "http://www.bitsCN.com")
doc.appendChild(root_node)
book_node = doc.createElement("book1")
book_name_node = doc.createElement("name")
book_name_value = doc.createTextNode("hamlet")
book_name_node.appendChild(book_name_value)
book_node.appendChild(book_name_node)
book_author_node = doc.createElement("author")
book_author_value = doc.createTextNode("William Shakespeare")
book_author_node.appendChild(book_author_value)
book_node.appendChild(book_author_node)
root_node.appendChild(book_node)
f = open("book_store.xml", "w")
f.write(doc.toprettyxml(indent = "\t", newl = "\n", encoding = "utf-8"))
f.close()
这个代码将在当前目录下生成一个book_store.xml文件,我把它也贴在下面:
代码如下:
当然一旦你掌握了这些基本方法之后,我们可以用一个类来更好的完成,这个类我们称之为XMLGenerator,代码如下:
代码如下:
'''
Created on 2012-8-28
@author: walfred
@module: domxml.wXMLbyDom
@description:
'''
import xml.dom.minidom as Dom
class XMLGenerator:
def __init__(self, xml_name):
self.doc = Dom.Document()
self.xml_name = xml_name
def createNode(self, node_name):
return self.doc.createElement(node_name)
def addNode(self, node, prev_node = None):
cur_node = node
if prev_node is not None:
prev_node.appendChild(cur_node)
else:
self.doc.appendChild(cur_node)
return cur_node
def setNodeAttr(self, node, att_name, value):
cur_node = node
cur_node.setAttribute(att_name, value)
def setNodeValue(self, cur_node, value):
node_data = self.doc.createTextNode(value)
cur_node.appendChild(node_data)
def genXml(self):
f = open(self.xml_name, "w")
f.write(self.doc.toprettyxml(indent = "\t", newl = "\n", encoding = "utf-8"))
f.close()
if __name__ == "__main__":
myXMLGenerator = XMLGenerator("book_store.xml")
#xml root node
node_book_store = myXMLGenerator.createNode("book_store")
myXMLGenerator.setNodeAttr(node_book_store, "name", "new hua")
myXMLGenerator.setNodeAttr(node_book_store, "website", "http://www.bitsCN.com")
myXMLGenerator.addNode(node = node_book_store)
#book01
node_book_01 = myXMLGenerator.createNode("book")
node_book_01_name = myXMLGenerator.createNode("name")
myXMLGenerator.setNodeValue(node_book_01_name, "Hamlet")
myXMLGenerator.addNode(node_book_01_name, node_book_01)
node_book_01_author = myXMLGenerator.createNode("author")
myXMLGenerator.setNodeValue(node_book_01_author, "William Shakespeare")
myXMLGenerator.addNode(node_book_01_author, node_book_01)
node_book_01_price = myXMLGenerator.createNode("price")
myXMLGenerator.setNodeValue(node_book_01_price, "$20")
myXMLGenerator.addNode(node_book_01_price, node_book_01)
node_book_01_grade = myXMLGenerator.createNode("grade")
myXMLGenerator.setNodeValue(node_book_01_grade, "good")
myXMLGenerator.addNode(node_book_01_grade, node_book_01)
myXMLGenerator.addNode(node_book_01, node_book_store)
#book 02
node_book_02 = myXMLGenerator.createNode("book")
node_book_02_name = myXMLGenerator.createNode("name")
myXMLGenerator.setNodeValue(node_book_02_name, "shuihu")
myXMLGenerator.addNode(node_book_02_name, node_book_02)
node_book_02_author = myXMLGenerator.createNode("author")
myXMLGenerator.setNodeValue(node_book_02_author, "naian shi")
myXMLGenerator.addNode(node_book_02_author, node_book_02)
node_book_02_price = myXMLGenerator.createNode("price")
myXMLGenerator.setNodeValue(node_book_02_price, "$200")
myXMLGenerator.addNode(node_book_02_price, node_book_02)
node_book_02_grade = myXMLGenerator.createNode("grade")
myXMLGenerator.setNodeValue(node_book_02_grade, "good")
myXMLGenerator.addNode(node_book_02_grade, node_book_02)
myXMLGenerator.addNode(node_book_02, node_book_store)
#gen
myXMLGenerator.genXml()
同样这个方法会在本目录下生成一个book_store.xml文件,如下:
代码如下:
这个版本算一个稍微高级的版本,但由于时间有限还很显得粗糙,读者可以发挥出更好的。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

The article introduces the operation of MySQL database. First, you need to install a MySQL client, such as MySQLWorkbench or command line client. 1. Use the mysql-uroot-p command to connect to the server and log in with the root account password; 2. Use CREATEDATABASE to create a database, and USE select a database; 3. Use CREATETABLE to create a table, define fields and data types; 4. Use INSERTINTO to insert data, query data, update data by UPDATE, and delete data by DELETE. Only by mastering these steps, learning to deal with common problems and optimizing database performance can you use MySQL efficiently.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

MySQL can run without network connections for basic data storage and management. However, network connection is required for interaction with other systems, remote access, or using advanced features such as replication and clustering. Additionally, security measures (such as firewalls), performance optimization (choose the right network connection), and data backup are critical to connecting to the Internet.

HadiDB: A lightweight, high-level scalable Python database HadiDB (hadidb) is a lightweight database written in Python, with a high level of scalability. Install HadiDB using pip installation: pipinstallhadidb User Management Create user: createuser() method to create a new user. The authentication() method authenticates the user's identity. fromhadidb.operationimportuseruser_obj=user("admin","admin")user_obj.

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

MySQL Workbench can connect to MariaDB, provided that the configuration is correct. First select "MariaDB" as the connector type. In the connection configuration, set HOST, PORT, USER, PASSWORD, and DATABASE correctly. When testing the connection, check that the MariaDB service is started, whether the username and password are correct, whether the port number is correct, whether the firewall allows connections, and whether the database exists. In advanced usage, use connection pooling technology to optimize performance. Common errors include insufficient permissions, network connection problems, etc. When debugging errors, carefully analyze error information and use debugging tools. Optimizing network configuration can improve performance

For production environments, a server is usually required to run MySQL, for reasons including performance, reliability, security, and scalability. Servers usually have more powerful hardware, redundant configurations and stricter security measures. For small, low-load applications, MySQL can be run on local machines, but resource consumption, security risks and maintenance costs need to be carefully considered. For greater reliability and security, MySQL should be deployed on cloud or other servers. Choosing the appropriate server configuration requires evaluation based on application load and data volume.
