如何将datetime对象格式化为带有毫秒的字符串?
当前回答
使用[:-3]删除最后3个字符,因为%f代表微秒:
>>> from datetime import datetime
>>> datetime.now().strftime('%Y/%m/%d %H:%M:%S.%f')[:-3]
'2013/12/04 16:50:03.141'
其他回答
要获得以毫秒为单位的日期字符串,使用[:-3]修剪%f(微秒)的最后三位数字:
>>> from datetime import datetime
>>> datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
'2022-09-24 10:18:32.926'
或者稍短一点:
>>> from datetime import datetime
>>> datetime.utcnow().strftime('%F %T.%f')[:-3]
我处理过同样的问题,但在我的情况下,毫秒是四舍五入而不是截断的,这很重要
from datetime import datetime, timedelta
def strftime_ms(datetime_obj):
y,m,d,H,M,S = datetime_obj.timetuple()[:6]
ms = timedelta(microseconds = round(datetime_obj.microsecond/1000.0)*1000)
ms_date = datetime(y,m,d,H,M,S) + ms
return ms_date.strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
from datetime import datetime
from time import clock
t = datetime.utcnow()
print 't == %s %s\n\n' % (t,type(t))
n = 100000
te = clock()
for i in xrange(1):
t_stripped = t.strftime('%Y%m%d%H%M%S%f')
print clock()-te
print t_stripped," t.strftime('%Y%m%d%H%M%S%f')"
print
te = clock()
for i in xrange(1):
t_stripped = str(t).replace('-','').replace(':','').replace('.','').replace(' ','')
print clock()-te
print t_stripped," str(t).replace('-','').replace(':','').replace('.','').replace(' ','')"
print
te = clock()
for i in xrange(n):
t_stripped = str(t).translate(None,' -:.')
print clock()-te
print t_stripped," str(t).translate(None,' -:.')"
print
te = clock()
for i in xrange(n):
s = str(t)
t_stripped = s[:4] + s[5:7] + s[8:10] + s[11:13] + s[14:16] + s[17:19] + s[20:]
print clock()-te
print t_stripped," s[:4] + s[5:7] + s[8:10] + s[11:13] + s[14:16] + s[17:19] + s[20:] "
结果
t == 2011-09-28 21:31:45.562000 <type 'datetime.datetime'>
3.33410112179
20110928212155046000 t.strftime('%Y%m%d%H%M%S%f')
1.17067364707
20110928212130453000 str(t).replace('-','').replace(':','').replace('.','').replace(' ','')
0.658806915404
20110928212130453000 str(t).translate(None,' -:.')
0.645189262881
20110928212130453000 s[:4] + s[5:7] + s[8:10] + s[11:13] + s[14:16] + s[17:19] + s[20:]
translate()和slicing方法的使用同时运行 Translate()的优点是可以在一行中使用
在第一个的基础上比较时间:
1.000 * t.strftime('%Y%m%d%H% m% S%f') 0.351 * str (t) .replace(‘-’,”).replace(‘:’,”).replace(‘。’,”).replace (' “,”) 0.198 * str(t)。翻译(,):。) 0.194 * s[4] +[7] +[8:10] +年代[11:13]+[十四16]+年代(十七19)+ 年代(20:)
我假设您的意思是您正在寻找比datetime.datetime.strftime()更快的东西,并且实际上是从utc时间戳中剥离非alpha字符。
你的方法稍微快一点,我认为你可以通过切片字符串来加快速度:
>>> import timeit
>>> t=timeit.Timer('datetime.utcnow().strftime("%Y%m%d%H%M%S%f")','''
... from datetime import datetime''')
>>> t.timeit(number=10000000)
116.15451288223267
>>> def replaceutc(s):
... return s\
... .replace('-','') \
... .replace(':','') \
... .replace('.','') \
... .replace(' ','') \
... .strip()
...
>>> t=timeit.Timer('replaceutc(str(datetime.datetime.utcnow()))','''
... from __main__ import replaceutc
... import datetime''')
>>> t.timeit(number=10000000)
77.96774983406067
>>> def sliceutc(s):
... return s[:4] + s[5:7] + s[8:10] + s[11:13] + s[14:16] + s[17:19] + s[20:]
...
>>> t=timeit.Timer('sliceutc(str(datetime.utcnow()))','''
... from __main__ import sliceutc
... from datetime import datetime''')
>>> t.timeit(number=10000000)
62.378515005111694
使用strftime:
>>> from datetime import datetime
>>> datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
'20220402055654344968'