有没有办法可以检查特定时区是否在我指定的日期进行夏令时?
test_dt = datetime(year=2015, month=2, day=1)
pst = pytz.timezone('America/Los_Angeles')
test_dt = pst.localize(test_dt)
# should return False
is_day_light_saving(test_dt)
答案 0 :(得分:7)
只需致电the datetime.dst()
method:
def is_summer_time(aware_dt):
assert aware_dt.tzinfo is not None
assert aware_dt.tzinfo.utcoffset(aware_dt) is not None
return bool(aware_dt.dst())
示例:
#!/usr/bin/env python
from datetime import datetime
import pytz # $ pip install pytz
naive = datetime(2015, 2, 1)
pacific = pytz.timezone('America/Los_Angeles')
aware = pacific.localize(naive, is_dst=None)
print(is_summer_time(aware))
相当于:
bool(pytz.timezone('America/Los_Angeles').dst(datetime(2015, 2, 1), is_dst=None))
答案 1 :(得分:-1)
根据我的经验,时区数据更容易处理时区敏感的pandas.Timestamp()而不是datetime。我非常确定时区灵敏度可以从日期本身推断夏令时。通过首先将datetime转换为numpy.datetime64,将datetime转换为pandas.timestamp()是微不足道的。
Timestamp(numpy.datetime64('2012-05-01T01:00:00.000000'))
http://wesmckinney.com/blog/easy-high-performance-time-zone-handling-in-pandas-0-8-0/
python pandas TimeStamps to local time string with daylight saving
Converting between datetime, Timestamp and datetime64
您也可以尝试查看pandas源代码并弄清楚它是如何推断出tz信息的。 https://github.com/pydata/pandas/blob/master/pandas/src/datetime/np_datetime.c