Series.__sub__(NaT) vs DatetimeIndex.__sub__(NaT) #18808
Description
One treats NaT result as datetime, other treats it as timedelta.
>>> dti = pd.DatetimeIndex([pd.NaT, pd.Timestamp('19900315')]) >>> ser = pd.Series(dti) >>> dti - pd.NaT TimedeltaIndex([NaT, NaT], dtype='timedelta64[ns]', freq=None) >>> ser - pd.NaT 0 NaT 1 NaT dtype: datetime64[ns]