In general, to convert an arbitrary timezone-aware datetime to a naive (local) datetime, I'd use the pytz
module and astimezone
to convert to local time, and replace
to make the datetime naive:
In [76]: import pytz
In [77]: est=pytz.timezone('US/Eastern')
In [78]: d.astimezone(est)
Out[78]: datetime.datetime(2010, 10, 30, 13, 21, 12, tzinfo=<DstTzInfo 'US/Eastern' EDT-1 day, 20:00:00 DST>)
In [79]: d.astimezone(est).replace(tzinfo=None)
Out[79]: datetime.datetime(2010, 10, 30, 13, 21, 12)
But since your particular datetime seems to be in the UTC timezone, you could do this instead:
In [65]: d
Out[65]: datetime.datetime(2010, 10, 30, 17, 21, 12, tzinfo=tzutc())
In [66]: import datetime
In [67]: import calendar
In [68]: datetime.datetime.fromtimestamp(calendar.timegm(d.timetuple()))
Out[68]: datetime.datetime(2010, 10, 30, 13, 21, 12)
By the way, you might be better off storing the datetimes as naive UTC datetimes instead of naive local datetimes. That way, your data is local-time agnostic, and you only convert to local-time or any other timezone when necessary. Sort of analogous to working in unicode as much as possible, and encoding only when necessary.
So if you agree that storing the datetimes in naive UTC is the best way, then all you'd need to do is define:
local_d = d.replace(tzinfo=None)