ValueError when trying to compute Quantile 
``` python
In [7]: df = pd.DataFrame(np.random.randn(10, 2))

In [8]: df.iloc[1, 1] = np.nan

In [9]: df.quantile(.5)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-9-66d518aa86c6> in <module>()
----> 1 df.quantile(.5)

/Users/tom.augspurger/Envs/py3/lib/python3.5/site-packages/pandas-0.19.0rc1+21.ge596cbf-py3.5-macosx-10.11-x86_64.egg/pandas/core/frame.py in quantile(self, q, axis, numeric_only, interpolation)
   5152                                      axis=1,
   5153                                      interpolation=interpolation,
-> 5154                                      transposed=is_transposed)
   5155
   5156         if result.ndim == 2:

/Users/tom.augspurger/Envs/py3/lib/python3.5/site-packages/pandas-0.19.0rc1+21.ge596cbf-py3.5-macosx-10.11-x86_64.egg/pandas/core/internals.py in quantile(self, **kwargs)
   3142
   3143     def quantile(self, **kwargs):
-> 3144         return self.reduction('quantile', **kwargs)
   3145
   3146     def setitem(self, **kwargs):

/Users/tom.augspurger/Envs/py3/lib/python3.5/site-packages/pandas-0.19.0rc1+21.ge596cbf-py3.5-macosx-10.11-x86_64.egg/pandas/core/internals.py in reduction(self, f, axis, consolidate, transposed, **kwargs)
   3071         for b in self.blocks:
   3072             kwargs['mgr'] = self
-> 3073             axe, block = getattr(b, f)(axis=axis, **kwargs)
   3074
   3075             axes.append(axe)

/Users/tom.augspurger/Envs/py3/lib/python3.5/site-packages/pandas-0.19.0rc1+21.ge596cbf-py3.5-macosx-10.11-x86_64.egg/pandas/core/internals.py in quantile(self, qs, interpolation, axis, mgr)
   1325             values = _block_shape(values[~mask], ndim=self.ndim)
   1326             if self.ndim > 1:
-> 1327                 values = values.reshape(result_shape)
   1328
   1329         from pandas import Float64Index

ValueError: total size of new array must be unchanged
```

original post follows

---

I have a simple dataframe that I created as follows:

`df[df['Week of'] == week]`

where `week` is a week name I'm filtering by

I have been taking the quartile values of this dataframe as follows:

`df[df['Week of'] == week].quantile(.25)`

However since the update to Pandas 0.19 I am receiving the error (this code worked fine before):

`values = values.reshape(result_shape)`
`ValueError: total size of new array must be unchanged`
