>>> # dataframe is indexed at a second granularity, using eastern time
>>> dataframe <class 'pandas.core.frame.DataFrame'>
Index: 24676 entries , 2010-10-04 00:03:49-04:00 to 2010-10-04 23:59:55-04:00
etf 10897 non-null values
etfvol 10897 non-null values
fut 17988 non-null values
futvol 17988 non-null values
ticx 7880 non-null values
vix 7465 non-null values
vixvol 7465 non-null values
>>> dataframe['etf'].index[0]
datetime.datetime(2010, 10, 4, 0, 3, 49, tzinfo=<DstTzInfo 'US/Eastern' EDT-1 day, 20:00:00 DST>)
>>>
>>> # et is a pytz timezone object for eastern time...
>>> et
<DstTzInfo 'US/Eastern' EST-1 day, 19:00:00 STD>
>>> dataframe['fut'].asfreq(et.localize(pn.DateOffset(seconds=1)), method='pad')
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/usr/lib/python2.5/site-packages/pytz-2010o-py2.5.egg/pytz/tzinfo.py", line 262, in localize
if dt.tzinfo is not None:
AttributeError: 'DateOffset' object has no attribute 'tzinfo'
>>>
>>> dataframe['fut'].asfreq(pn.DateOffset(seconds=1), method='pad') Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/usr/lib/python2.5/site-packages/pandas/core/series.py", line 1103, in asfreq
dateRange = DateRange(self.index[0], self.index[-1], offset=freq)
File "/usr/lib/python2.5/site-packages/pandas/core/daterange.py", line 70, in __new__
fromInside = start is not None and start > _CACHE_START
TypeError: can't compare offset-naive and offset-aware datetimes
>>>
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