tuples as data not filter-able for equality?
Using 
'0.17.0rc1+31.g9be2180'
and  a column of tuples like so:

``` python
df.BINNING_SET.head()

TIME_OF_INT
2014-10-18 07:36:19.926570     (0, 1, 319, 11)
2014-10-18 07:36:19.926570     (0, 1, 441, 11)
2014-10-18 07:36:59.675040    (52, 4, 89, 115)
2014-10-18 07:36:59.675040    (2, 34, 96, 115)
2014-10-18 07:55:27.922290    (52, 4, 89, 115)
Name: BINNING_SET, dtype: object
```

I can't seem to filter on any tuple like so:

``` python
df.BINNING_SET==df.BINNING_SET.iloc[0]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-41-435fa8bdd1a7> in <module>()
----> 1 df.BINNING_SET==df.BINNING_SET.iloc[0]

/Users/klay6683/miniconda3/lib/python3.4/site-packages/pandas-0.17.0rc1+31.g9be2180-py3.4-macosx-10.5-x86_64.egg/pandas/core/ops.py in wrapper(self, other, axis)
    724                 other = np.asarray(other)
    725 
--> 726             res = na_op(values, other)
    727             if isscalar(res):
    728                 raise TypeError('Could not compare %s type with Series'

/Users/klay6683/miniconda3/lib/python3.4/site-packages/pandas-0.17.0rc1+31.g9be2180-py3.4-macosx-10.5-x86_64.egg/pandas/core/ops.py in na_op(x, y)
    642             if isinstance(y, (np.ndarray, pd.Series)):
    643                 if not is_object_dtype(y.dtype):
--> 644                     result = lib.vec_compare(x, y.astype(np.object_), op)
    645                 else:
    646                     result = lib.vec_compare(x, y, op)

pandas/lib.pyx in pandas.lib.vec_compare (pandas/lib.c:14361)()

ValueError: Arrays were different lengths: 41994 vs 4
```
