In [1]: import time
In [2]: import datetime
In [3]: date_time = datetime.datetime.now()
In [4]: print(date_time)
2016-11-17 16:36:57.580709
In [6]: current_date = str(date_time).split(" ")
In [7]: print current_date
['2016-11-17', '16:36:57.580709']
In [8]: current_date = str(date_time).split(" ")[0]
In [9]: print current_date
2016-11-17
个人感觉以上是time模块用的较多的情形
re模块常用用法
In [22]: a = re.findall("ab","cavvvvvv") #将匹配到的字符添加至列表中,因为没匹配到,所以列表为空
In [23]: a
Out[23]: []
In [24]: a = re.findall("ab","cabvvvvv") #匹配到了ab,所以列表元素为ab
In [25]: a
Out[25]: ['ab']
In [26]: a = re.split("ab","cabvvvvv") #将匹配到的字符作为分隔符
In [27]: a
Out[27]: ['c', 'vvvvv']
In [29]: a = re.sub("ab","ed","cabvvvvv") #将匹配到的字符用ed替换
In [30]: a
Out[30]: 'cedvvvvv'
'.' 默认匹配除
之外的任意一个字符,若指定flag DOTALL,则匹配任意字符,包括换行
'^' 匹配字符开头,若指定flags MULTILINE,这种也可以匹配上(r"^a","
abc
eee",flags=re.MULTILINE)
'$' 匹配字符结尾,或e.search("foo$","bfoo
sdfsf",flags=re.MULTILINE).group()也可以
'*' 匹配*号前的字符0次或多次,re.findall("ab*","cabb3abcbbac") 结果为['abb', 'ab', 'a']
'+' 匹配前一个字符1次或多次,re.findall("ab+","ab+cd+abb+bba") 结果['ab', 'abb']
'?' 匹配前一个字符1次或0次
'{m}' 匹配前一个字符m次
'{n,m}' 匹配前一个字符n到m次,re.findall("ab{1,3}","abb abc abbcbbb") 结果'abb', 'ab', 'abb']
'|' 匹配|左或|右的字符,re.search("abc|ABC","ABCBabcCD").group() 结果'ABC'
'(...)' 分组匹配,re.search("(abc){2}a(123|456)c", "abcabca456c").group() 结果 abcabca456c
'A' 只从字符开头匹配,re.search("Aabc","alexabc") 是匹配不到的
'' 匹配字符结尾,同$
'd' 匹配数字0-9
'D' 匹配非数字
'w' 匹配[A-Za-z0-9]
'W' 匹配非[A-Za-z0-9]
's' 匹配空白字符、 、
、
, re.search("s+","ab c1
3").group() 结果 ' '
'(?P<name>...)' 分组匹配 re.search("(?P<province>[0-9]{4})(?P<city>[0-9]{2})(?P<birthday>[0-9]{4})","371481199306143242").groupdict("city") 结果{'province': '3714', 'city': '81', 'birthday': '1993'}