BUG: binary comparison of numpy.int/float and Series
This only happens with the numpy object is on the left. It doesn't matter if it's an int or a float. This error does not get raised with DataFrames.

After more poking around, It looks like this actually comres from a change in numpy, between versions 1.8.2 and 1.9.0.

``` python
import pandas as pd
import numpy as np

s = pd.Series(np.arange(4))
arr = np.arange(4)

right = s < arr[0]
left = arr[0] > s
```

Running this yields

``` python
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
bug_lhs_numpy.py in <module>()
      6
      7 right = s < arr[0]
----> 8 left = arr[0] > s

C:\Anaconda\lib\site-packages\pandas-0.14.1_236_g989a51b-py2.7-win-amd64.egg\pandas\core\ops.py
ther)
    555             return NotImplemented
    556         elif isinstance(other, (pa.Array, pd.Series, pd.Index)):
--> 557             if len(self) != len(other):
    558                 raise ValueError('Lengths must match to compare')
    559             return self._constructor(na_op(self.values, np.asarray(other)),

TypeError: len() of unsized object

In [2]: type(arr[0])
Out[2]: numpy.int32
```
