Pandas: Cannot convert type <class 'pandas.tseries.index.DatetimeIndex'> to Timestamp

I got the following error message when trying to slicing a pandas dataframe using labels. ``` triggerDate = dat.loc[dat.Close <= threshold[0]][:1].index cutDate= triggerDate.shift(1, 'd') dat.truncate(before=triggerDate, after=cutDate) ``` TypeError: Cannot convert input [DatetimeIndex(['2010-05-05'], dtype='datetime64[ns]', name=u'Date', freq=None)] of type to Timestamp I am confused why datetimeIndex object cannot be used to slice this pandas dataframe here, because from the documentation on truncating function, this should work? Why do I still need to convert datetimeIndex to Timestamp? So I am guessing I probably miss some details here? Any help would be appreciated. Thanks! And here is the code and output of my sample dat: ``` type(dat) ``` class 'pandas.core.frame.DataFrame' ``` dat.head(5) Open High Low Close Volume Adj Close Cash Position Date 2010-05-03 13.18 13.49 13.18 13.30 106416800 10.747104 11.7 9988.3 2010-05-04 13.07 13.08 12.75 12.85 123207400 10.383480 0.0 0.0 2010-05-05 12.32 12.70 11.59 12.34 198525600 9.971373 0.0 0.0 2010-05-06 12.17 12.51 10.59 11.78 237094700 9.518863 0.0 0.0 2010-05-07 11.95 11.97 10.95 11.51 261066500 9.300689 0.0 0.0 ``` ``` triggerDate ``` DatetimeIndex(['2010-05-05'], dtype='datetime64[ns]', name=u'Date', freq=None) ``` type(triggerDate) ``` class 'pandas.tseries.index.DatetimeIndex' ``` type(cutDate) ``` class 'pandas.tseries.index.DatetimeIndex'