In [70]: tds = pd.Series(pd.timedelta_range('1 days', periods=5, freq='2 h'), index=list('ABCDE'))
In [71]: tds
Out[71]:
A 1 days 00:00:00
B 1 days 02:00:00
C 1 days 04:00:00
D 1 days 06:00:00
E 1 days 08:00:00
dtype: timedelta64[ns]
In [72]: tds.dt.hours
Out[72]:
A 0
B 2
C 4
D 6
E 8
dtype: int64
In [73]: tds.dt.components.hours
Out[73]:
0 0
1 2
2 4
3 6
4 8
Name: hours, dtype: int64
So the direct attributes via .dt like .dt.hours above does preserve the index, but the components not.
@jreback I don't know if this was done on purpose or is an oversight, I can't remember, and I looked briefly to the long discussion in #8184, but didn't find something directly.
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