DataFrame#where broken in latest 0.16.1 release

[dunpyl]

Simple usecase of DataFrame#where fails on a freshly installed latest Pandas release:

In [1]: df = DataFrame([1, 2]); df
Out[1]: 
   0
0  1
1  2

In [2]: df.where(df[0]==1)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-7b64bb424f7b> in <module>()
----> 1 df.where(df[0]==1)

/home/dunpeal/.env/lib/python3.4/site-packages/pandas/core/generic.py in where(self, cond, other, inplace, axis, level, try_cast, raise_on_error)
   3445 
   3446         if isinstance(cond, NDFrame):
-> 3447             cond = cond.reindex(**self._construct_axes_dict())
   3448         else:
   3449             if not hasattr(cond, 'shape'):

/home/dunpeal/.env/lib/python3.4/site-packages/pandas/core/series.py in reindex(self, index, **kwargs)
   2142     @Appender(generic._shared_docs['reindex'] % _shared_doc_kwargs)
   2143     def reindex(self, index=None, **kwargs):
-> 2144         return super(Series, self).reindex(index=index, **kwargs)
   2145 
   2146     @Appender(generic._shared_docs['fillna'] % _shared_doc_kwargs)

/home/dunpeal/.env/lib/python3.4/site-packages/pandas/core/generic.py in reindex(self, *args, **kwargs)
   1747         if kwargs:
   1748             raise TypeError('reindex() got an unexpected keyword '
-> 1749                     'argument "{0}"'.format(list(kwargs.keys())[0]))
   1750 
   1751         self._consolidate_inplace()

TypeError: reindex() got an unexpected keyword argument "columns"

[jreback]

use

In [2]: df.where(df[[0]]==1)
Out[2]: 
    0
0   1
1 NaN

In [3]: df[df[0]==1]
Out[3]: 
   0
0  1

will mark this as a bug in any event I don't think this worked previously.
pull-requests are welcome