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

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

将字符串转换为日期对象:

from datetime import date, datetime

date_string = "01/12/2011"
date_object = date(*map(int, reversed(date_string.split("/"))))
assert date_object == datetime.strptime(date_string, "%d/%m/%Y").date()

将date对象转换为POSIX时间戳的方法取决于时区。从转换datetime。在Python中，date到UTC时间戳:

date对象表示UTC的午夜 导入日历 Timestamp1 = calendar.timegm(utc_date.timetuple()) Timestamp2 = (utc_date.toordinal() - date(1970, 1,1).toordinal()) * 24*60*60 断言timestamp1 == timestamp2 Date对象表示本地时间的午夜 导入的时间 timestamp = time.mktime(local_date.timetuple()) 断言timestamp3 != timestamp1或(time.gmtime() == time.localtime())

时间戳是不同的，除非UTC的午夜和本地时间是相同的时间实例。

我建议约会日期:

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

>>> import time
>>> import datetime
>>> s = "01/12/2011"
>>> time.mktime(datetime.datetime.strptime(s, "%d/%m/%Y").timetuple())
1322697600.0

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)