.iloc with 1-element integer array behaves badly
There is an inconsistency in the returned (python) types when indexing .iloc with an integer array.  The result should always be a sequence (Series), but if the array contains exactly one index, it returns a scalar value:

``` python

>>> import pandas, numpy
>>> column = pandas.Series(numpy.arange(10))
>>> indices, = (column > 4).nonzero()
>>> column.iloc[indices]
5    5
6    6
7    7
8    8
9    9
dtype: int64
>>> indices, = (column == 5).nonzero()
>>> column.iloc[indices]
5
>>> indices, = (column == 99).nonzero()
>>> column.iloc[indices]
Series([], dtype: int64)
```

I am working around that using `numpy.atleast_1d`, but it's ugly.
