Python配置文件解析模块ConfigParser使用实例
一、ConfigParser简介
ConfigParser 是用来读取配置文件的包。配置文件的格式如下:中括号“[ ]”内包含的为section。section 下面为类似于key-value 的配置内容。
[db]
db_host = 127.0.0.1
db_port = 22
db_user = root
db_pass = rootroot
[concurrent]
thread = 10
processor = 20
中括号“[ ]”内包含的为section。紧接着section 为类似于key-value 的options 的配置内容。
二、ConfigParser 初始工作
使用ConfigParser 首选需要初始化实例,并读取配置文件:
cf = ConfigParser.ConfigParser()
cf.read("配置文件名")
三、ConfigParser 常用方法
1. 获取所有sections。也就是将配置文件中所有“[ ]”读取到列表中:
s = cf.sections()
print 'section:', s
将输出(以下将均以简介中配置文件为例):
section: ['db', 'concurrent']
2. 获取指定section 的options。即将配置文件某个section 内key 读取到列表中:
o = cf.options("db")
print 'options:', o
将输出:
options: ['db_host', 'db_port', 'db_user', 'db_pass']
3. 获取指定section 的配置信息。
v = cf.items("db")
print 'db:', v
将输出:
db: [('db_host', '127.0.0.1'), ('db_port', '22'), ('db_user', 'root'), ('db_pass', 'rootroot')]
4. 按照类型读取指定section 的option 信息。
同样的还有getfloat、getboolean。
#可以按照类型读取出来
db_host = cf.get("db", "db_host")
db_port = cf.getint("db", "db_port")
db_user = cf.get("db", "db_user")
db_pass = cf.get("db", "db_pass")
# 返回的是整型的
threads = cf.getint("concurrent", "thread")
processors = cf.getint("concurrent", "processor")
print "db_host:", db_host
print "db_port:", db_port
print "db_user:", db_user
print "db_pass:", db_pass
print "thread:", threads
print "processor:", processors
将输出:
db_host: 127.0.0.1
db_port: 22
db_user: root
db_pass: rootroot
thread: 10
processor: 20
5. 设置某个option 的值。(记得最后要写回)
cf.set("db", "db_pass", "zhaowei")
cf.write(open("test.conf", "w"))
6.添加一个section。(同样要写回)
cf.add_section('liuqing')
cf.set('liuqing', 'int', '15')
cf.set('liuqing', 'bool', 'true')
cf.set('liuqing', 'float', '3.1415')
cf.set('liuqing', 'baz', 'fun')
cf.set('liuqing', 'bar', 'Python')
cf.set('liuqing', 'foo', '%(bar)s is %(baz)s!')
cf.write(open("test.conf", "w"))
7. 移除section 或者option 。(只要进行了修改就要写回的哦)
cf.remove_option('liuqing','int')
cf.remove_section('liuqing')
cf.write(open("test.conf", "w"))
#!/usr/bin/env python
from ConfigParser import ConfigParser
CONFIGFILE="f.txt"
config=ConfigParser()
config.read(CONFIGFILE)
print config.get('messages','greeting')
radius=input(config.get('messages','questions')+' ')
print config.get('messages','result')
print config.getfloat('numbers','pi')*radius**2
s=config.sections()
print'section: ',s
o=config.options('messages')
print'messages option: ',o
v=config.items("messages")
print'message de xinxi: ',v
config.add_section('liuyang1')
config.set('liuyang1','int','15')
config.set('liuyang'1,'hhhh','hello world')
config.write(open("f.txt","w"))
print config.get('liuyang1','int')
print config.get('liuyang1','hhhh')
#!/usr/bin/env python
import ConfigParser
import sys
config=ConfigParser.ConfigParser()
config.add_section("book1")
config.set("book1","title","hello world")
config.set("book1","aut","log")
config.write(open("f.txt","w"))

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

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

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











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
