Subsetting with lists fails with TypeError
``` python

from pandas import *
import pandas
import numpy as np

df = DataFrame({'a': np.random.randn(6),
                'b': ['foo', 'bar'] * 3,
                'c': np.random.randn(6)})

df.ix[2:4, ['b','c']]




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/home/sandbox/PandasTutorial/<ipython-input-7-be5ec57dcb20> in <module>()
----> 1 df.ix[2:4, ['b','c']]

/software/pandas/pandas/core/indexing.pyc in __getitem__(self, key)
     31                 pass
     32 
---> 33             return self._getitem_tuple(key)
     34         else:
     35             return self._getitem_axis(key, axis=0)

/software/pandas/pandas/core/indexing.pyc in _getitem_tuple(self, tup)
    113                 continue
    114 
--> 115             retval = retval.ix._getitem_axis(key, axis=i)
    116 
    117         return retval

/software/pandas/pandas/core/indexing.pyc in _getitem_axis(self, key, axis)
    172                 raise ValueError('Cannot index with multidimensional key')
    173 
--> 174             return self._getitem_iterable(key, axis=axis)
    175         elif axis == 0:
    176             is_int_index = _is_integer_index(labels)

/software/pandas/pandas/core/indexing.pyc in _getitem_iterable(self, key, axis)
    213                 keyarr = labels.take(keyarr)
    214 
--> 215             return self.obj.reindex(**{axis_name: keyarr})
    216 
    217     def _convert_to_indexer(self, obj, axis=0):

/software/pandas/pandas/core/frame.pyc in reindex(self, index, columns, method, level, fill_value, copy)
   1844 
   1845         if columns is not None:
-> 1846             frame = frame._reindex_columns(columns, copy, level, fill_value)
   1847 
   1848         return frame

/software/pandas/pandas/core/frame.pyc in _reindex_columns(self, new_columns, copy, level, fill_value)
   1907         new_columns, indexer = self.columns.reindex(new_columns, level=level)
   1908         return self._reindex_with_indexers(None, None, new_columns, indexer,
-> 1909                                            copy, fill_value)
   1910 
   1911     def _reindex_with_indexers(self, index, row_indexer, columns, col_indexer,

/software/pandas/pandas/core/frame.pyc in _reindex_with_indexers(self, index, row_indexer, columns, col_indexer, copy, fill_value)
   1922             # TODO: speed up on homogeneous DataFrame objects
   1923             new_data = new_data.reindex_indexer(columns, col_indexer, axis=0,
-> 1924                                                 fill_value=fill_value)
   1925         elif columns is not None and columns is not new_data.axes[0]:
   1926             new_data = new_data.reindex_items(columns, copy=copy,

/software/pandas/pandas/core/internals.pyc in reindex_indexer(self, new_axis, indexer, axis, fill_value)
    735         """
    736         if axis == 0:
--> 737             return self._reindex_indexer_items(new_axis, indexer, fill_value)
    738 
    739         mask = indexer == -1

/software/pandas/pandas/core/internals.pyc in _reindex_indexer_items(self, new_items, indexer, fill_value)
    755         # TODO: less efficient than I'd like
    756 
--> 757         item_order = com.take_1d(self.items.values, indexer)
    758 
    759         # keep track of what items aren't found anywhere

/software/pandas/pandas/core/common.pyc in take_1d(arr, indexer, out, fill_value)
    186             out = np.empty(n, dtype=arr.dtype)
    187         take_f = _take1d_dict[dtype_str]
--> 188         take_f(arr, indexer, out=out, fill_value=fill_value)
    189     else:
    190         out = arr.take(indexer, out=out)

/software/pandas/pandas/_tseries.so in pandas._tseries.take_1d_object (pandas/src/tseries.c:43051)()

TypeError: take_1d_object() got an unexpected keyword argument 'fill_value'
```
