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time模块
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\n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","\nabc\neee",flags=re.MULTILINE) ‘$‘ 匹配字符结尾,或e.search("foo$","bfoo\nsdfsf",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 ‘\Z‘ 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、\t、\n、\r , re.search("\s+","ab\tc1\n3").group() 结果 ‘\t‘ ‘(?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‘}
time模块
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