Python for Finance: Analyze Big Financial Data

                                        ‘US/Alaska’,

                                        ‘US/Arizona’,

                                        ‘US/Central’,

                                        ‘US/Eastern’,

                                        ‘US/Hawaii’,

                                        ‘US/Mountain’,

                                        ‘US/Pacific’,

                                        ‘UTC’]

With pytz, there is generally no need to define your own tzinfo objects:

In  [ 42 ]: u   =   dt.datetime.utcnow()

u   =   u.replace(tzinfo=pytz.utc)

u

Out[42]:    datetime.datetime(2014, 9,  14, 17, 22, 29, 503702, tzinfo=<UTC>)

In  [ 43 ]: u.astimezone(pytz.timezone(“CET”))

Out[43]:    datetime.datetime(2014, 9,  14, 19, 22, 29, 503702, tzinfo=<DstTzInfo   ‘C

                                    ET’ CEST+2:00:00    DST>)

In  [ 44 ]: u.astimezone(pytz.timezone(“GMT”))

Out[44]:    datetime.datetime(2014, 9,  14, 17, 22, 29, 503702, tzinfo=<StaticTzInfo

                                        ‘GMT’>)

In  [ 45 ]: u.astimezone(pytz.timezone(“US/Central”))

Out[45]:    datetime.datetime(2014, 9,  14, 12, 22, 29, 503702, tzinfo=<DstTzInfo   ‘U

                                    S/Central’  CDT-1   day,    19:00:00    DST>)