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

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

How to download DeepSeek Xiaomi? Search for "DeepSeek" in the Xiaomi App Store. If it is not found, continue to step 2. Identify your needs (search files, data analysis), and find the corresponding tools (such as file managers, data analysis software) that include DeepSeek functions.

The key to using DeepSeek effectively is to ask questions clearly: express the questions directly and specifically. Provide specific details and background information. For complex inquiries, multiple angles and refute opinions are included. Focus on specific aspects, such as performance bottlenecks in code. Keep a critical thinking about the answers you get and make judgments based on your expertise.

Just use the search function that comes with DeepSeek. Its powerful semantic analysis algorithm can accurately understand the search intention and provide relevant information. However, for searches that are unpopular, latest information or problems that need to be considered, it is necessary to adjust keywords or use more specific descriptions, combine them with other real-time information sources, and understand that DeepSeek is just a tool that requires active, clear and refined search strategies.

DeepSeek is not a programming language, but a deep search concept. Implementing DeepSeek requires selection based on existing languages. For different application scenarios, it is necessary to choose the appropriate language and algorithms, and combine machine learning technology. Code quality, maintainability, and testing are crucial. Only by choosing the right programming language, algorithms and tools according to your needs and writing high-quality code can DeepSeek be successfully implemented.

Question: Is DeepSeek available for accounting? Answer: No, it is a data mining and analysis tool that can be used to analyze financial data, but it does not have the accounting record and report generation functions of accounting software. Using DeepSeek to analyze financial data requires writing code to process data with knowledge of data structures, algorithms, and DeepSeek APIs to consider potential problems (e.g. programming knowledge, learning curves, data quality)

Python is an ideal programming introduction language for beginners through its ease of learning and powerful features. Its basics include: Variables: used to store data (numbers, strings, lists, etc.). Data type: Defines the type of data in the variable (integer, floating point, etc.). Operators: used for mathematical operations and comparisons. Control flow: Control the flow of code execution (conditional statements, loops).

Pythonempowersbeginnersinproblem-solving.Itsuser-friendlysyntax,extensivelibrary,andfeaturessuchasvariables,conditionalstatements,andloopsenableefficientcodedevelopment.Frommanagingdatatocontrollingprogramflowandperformingrepetitivetasks,Pythonprovid

Detailed explanation of DeepSeekAPI access and call: Quick Start Guide This article will guide you in detail how to access and call DeepSeekAPI, helping you easily use powerful AI models. Step 1: Get the API key to access the DeepSeek official website and click on the "Open Platform" in the upper right corner. You will get a certain number of free tokens (used to measure API usage). In the menu on the left, click "APIKeys" and then click "Create APIkey". Name your APIkey (for example, "test") and copy the generated key right away. Be sure to save this key properly, as it will only be displayed once
