Python 常用模块总结
模块的分类:
1.内置模块(python自带的比如像os,sys等模块)
2.自定义模块,自己写的一些模块
3.第三方模块(开源模块)
模块导入:
1.import sys # 导入sys模块下面的全部方法
2.from sys import path # 导入sys模块下面的方法
3.from sys import path as pt # 当模块名较长的时候可以使用as创建一个比较短的别名,使用这个别名等于使用模块
1. sys模块
只列出比较常用的模块
sys.argv #命令行参数List,第一个元素是程序本身路径
sys.path #返回模块的搜索路径,初始化时使用python环境变量的值
sys.platform #返回操作系统平台名称,"win3" "linux"
sys.exit(num) #退出程序,正常退出时exit(0) 调试程序时会用到
sys.modules #返回已导入的模块
sys.version #返回python解释程序的版本信息
2. OS模块
os.getcwd() #获取当前工作目录,即当前python脚本工作的目录路径
os.system('ipconfig') #运行shell命令,直接显示
os.environ #获取系统的环境变量
os.chdir('dirname') #改变当前脚本的工作目录,相当于shell下的cd os.curdir #返回当前目录:('.')
os.name #输出字符串指示当前使用平台。win=>'nt';linux=>'posix'
os.pardir #返回当前目录的父目录字符串名:('..')
os.makedirs('dirname1/dirname2') #可生成多层递归目录
os.removedirs('dirname1/dirname2') #若目录为空,则删除,并递归到上一级目录,如若也为空,则删除,依此类推(删除多级空目录)
os.mkdir('dirname') #生成单级空目录,相当于shell中的mkdir dirname
os.rmdir('dirname') #删除单级空目录,如目录不为空则无法删除,报错;相当于shell中的rmdir dirname
os.listdir() #列出指定目录下的所有文件和子目录,包括隐藏文件,并以列表方式打印
os.remove('test') #删除一个文件,文件不存在报错
os.rename('file','file_123') #重命名文件/目录
os.stat('file') #获取文件/目录属性信息
os.linesep #输出当前平台使用的行终止符,win下为'\r\n',linux下为'\n'
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" 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3. os.path模块
os.path.basename(path) #返回文件名
os.path.exists(path) #路径存在则返回True,路径损坏返回False
os.path.expanduser(path) #把path中包含的"~"和"~user"转换成用户目录
os.path.dirname(path) #返回文件路径
os.path.isabs(path) #判断是否为绝对路径
os.path.isfile(path) #判断路径是否为文件
os.path.isdir(path) #判断路径是否为目录
os.path.islink(path) #判断路径是否为链接
os.path.ismount(path) #判断路径是否为挂载点()
os.path.abspath(path) #返回绝对路径
os.path.commonprefix(list) #返回list(多个路径)中,所有path共有的最长的路径。
os.path.lexists #路径存在则返回True,路径损坏也返回True
os.path.expandvars(path) #根据环境变量的值替换path中包含的”$name”和”${name}”
os.path.getatime(path) #返回最后一次进入此path的时间。
os.path.getmtime(path) #返回在此path下最后一次修改的时间。
os.path.getctime(path) #返回path的大小
os.path.getsize(path) #返回文件大小,如果文件不存在就返回错误
os.path.join(path1[, path2[, ...]]) #把目录和文件名合成一个路径
os.path.normcase(path) #转换path的大小写和斜杠
os.path.normpath(path) #规范path字符串形式
os.path.realpath(path) #返回path的真实路径
os.path.relpath(path[, start]) #从start开始计算相对路径
os.path.samefile(path1, path2) #判断目录或文件是否相同
os.path.sameopenfile(fp1, fp2) #判断fp1和fp2是否指向同一文件
os.path.samestat(stat1, stat2) #判断stat tuple stat1和stat2是否指向同一个文件
os.path.split(path) #把路径分割成dirname和basename,返回一个元组
os.path.splitdrive(path) #一般用在windows下,返回驱动器名和路径组成的元组
os.path.splitext(path) #分割路径,返回路径名和文件扩展名的元组
os.path.splitunc(path) #把路径分割为加载点与文件
os.path.walk(path, visit, arg) #遍历path,进入每个目录都调用visit函数,visit函数必须有
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" alt="" />
4. platform模块
platform.system() #获取操作系统类型,windows、linux等
platform.platform() #获取操作系统信息,'Linux-3.10.0-327.10.1.el7.x86_64-x86_64-with-centos-7.2.1511-Core'
platform.version() #获取系统版本信息
platform.mac_ver() #获取MAC系统版本信息
platform.win32_ver() #获取Wins系统版本信息
platform.node() #计算机名称
platform.uname() #所有关于计算机机信息汇总
platform.mac_ver() #获取MAC系统版本信息
platform.win32_ver() #获取Wins系统版本信息
4. getpass模块
getpass模块提供了可移植的密码输入,一共包括下面两个函数:
getpass.getpass() #以不显示的方式获取当前用户输入的信息
getpass.getuser() #获取当前用户的名称
import getpass print getpass.getuser()
name = raw_input("input your name:")
passwd = getpass.getpass("Pls input your pwd:") print name
print passwd
getpass示例
附:根据用户登陆后自动获取即时聊天软件Spark的用户名和服务器脚本。
#!/usr/bin/python
# coding:utf-8 import os
import sys
import platform
import getpass username = getpass.getuser() #获取当前登陆用户名
home = os.path.expanduser('~') #获取当面用户家目录
sysstr = platform.system() #获取系统类型 if sysstr == "Windows":
spark_home = "%s/AppDate/Roaming/Spark" %home #设置spark软件安装目录
else:
spark_home = "%s/.Spark" %home spark_config = "%s/spark.properties" %spark_home #设置spark配置文件 def add_account():
content = """
username = %s
server = chat.base-fx.com
passwordSaved=true
""" %username with open(spark_config,‘w’) as f: #与入要设置的内容
f.write(content) if os.path.exists(spark_config): #判断配置文件是否存在。如果并用户名不在里面则添加
with open(spark_config,'r') as f:
content = f.read()
if username not in content:
add_account()
else:
os.path.mkdirs(spark_home) #配置文件不存在,创建配置文件并添加内容
add_account()
翠花,上酸菜
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