>>> int(datetime.datetime.strptime('01/12/2011', '%d/%m/%Y').strftime("%s"))
1322683200

答案也取决于你输入的日期和时区。如果你的日期是本地日期，那么你可以像katrielalex说的那样使用mktime() -只是我不明白为什么他使用datetime而不是这个更短的版本:

>>> time.mktime(time.strptime('01/12/2011', "%d/%m/%Y"))
1322694000.0

但是请注意，我的结果与他的结果不同，因为我可能在不同的TZ中(结果是无时区的UNIX时间戳)

现在如果输入日期已经是UTC，那么我认为正确的解决方案是:

>>> calendar.timegm(time.strptime('01/12/2011', '%d/%m/%Y'))
1322697600

>>> int(datetime.datetime.strptime('01/12/2011', '%d/%m/%Y').strftime("%s"))
1322683200

似乎相当有效:

import datetime
day, month, year = '01/12/2011'.split('/')
datetime.datetime(int(year), int(month), int(day)).timestamp()

1.61µs±120 ns /循环(7次运行的平均值±标准值，每次100000次循环)

很多答案都没有考虑到日期一开始就很天真

为了正确，您需要首先将初始日期设置为具有时区意识的datetime

import datetime
import pytz
# naive datetime
d = datetime.datetime.strptime('01/12/2011', '%d/%m/%Y')
>>> datetime.datetime(2011, 12, 1, 0, 0)

# add proper timezone
pst = pytz.timezone('America/Los_Angeles')
d = pst.localize(d)
>>> datetime.datetime(2011, 12, 1, 0, 0,
tzinfo=<DstTzInfo 'America/Los_Angeles' PST-1 day, 16:00:00 STD>)

# convert to UTC timezone
utc = pytz.UTC
d = d.astimezone(utc)
>>> datetime.datetime(2011, 12, 1, 8, 0, tzinfo=<UTC>)

# epoch is the beginning of time in the UTC timestamp world
epoch = datetime.datetime(1970,1,1,0,0,0,tzinfo=pytz.UTC)
>>> datetime.datetime(1970, 1, 1, 0, 0, tzinfo=<UTC>)

# get the total second difference
ts = (d - epoch).total_seconds()
>>> 1322726400.0

另外:

小心，在datetime中使用pytz for tzinfo。datetime不适用于许多时区。参见datetime with pytz timezone。不同的偏移量取决于tzinfo的设置方式

# Don't do this:
d = datetime.datetime(2011, 12, 1,0,0,0, tzinfo=pytz.timezone('America/Los_Angeles'))
>>> datetime.datetime(2011, 1, 12, 0, 0, 
tzinfo=<DstTzInfo 'America/Los_Angeles' LMT-1 day, 16:07:00 STD>)
# tzinfo in not PST but LMT here, with a 7min offset !!!

# when converting to UTC:
d = d.astimezone(pytz.UTC)
>>> datetime.datetime(2011, 1, 12, 7, 53, tzinfo=<UTC>)
# you end up with an offset

https://en.wikipedia.org/wiki/Local_mean_time

我建议约会日期:

import dateutil.parser
dateutil.parser.parse("01/12/2011", dayfirst=True).timestamp()