Error with .drop([]) on non-unique index

[toobaz]

Code Sample, a copy-pastable example if possible

In [2]: pd.DataFrame([[1,2], [3,4], [5,6]], index=['a','a','b']).drop(['a'])
Out[2]: 
   0  1
b  5  6

In [3]: pd.DataFrame([[1,2], [3,4], [5,6]], index=['a','a','b']).drop(['b'])
Out[3]: 
   0  1
a  1  2
a  3  4

In [4]: pd.DataFrame([[1,2], [3,4], [5,6]], index=['a','a','b']).drop([])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-ae217de2434b> in <module>()
----> 1 pd.DataFrame([[1,2], [3,4], [5,6]], index=['a','a','b']).drop([])

/home/pietro/.local/lib/python3.5/site-packages/pandas/core/generic.py in drop(self, labels, axis, level, inplace, errors)
   2063                 indexer = ~axis.get_level_values(level).isin(labels)
   2064             else:
-> 2065                 indexer = ~axis.isin(labels)
   2066 
   2067             slicer = [slice(None)] * self.ndim

/home/pietro/.local/lib/python3.5/site-packages/pandas/core/indexes/base.py in isin(self, values, level)
   2766         if level is not None:
   2767             self._validate_index_level(level)
-> 2768         return algos.isin(np.array(self), values)
   2769 
   2770     def _can_reindex(self, indexer):

/home/pietro/.local/lib/python3.5/site-packages/pandas/core/algorithms.py in isin(comps, values)
    419             comps = comps.astype(object)
    420 
--> 421     return f(comps, values)
    422 
    423 

/home/pietro/.local/lib/python3.5/site-packages/pandas/core/algorithms.py in <lambda>(x, y)
    397     # work-around for numpy < 1.8 and comparisions on py3
    398     # faster for larger cases to use np.in1d
--> 399     f = lambda x, y: htable.ismember_object(x, values)
    400     if (_np_version_under1p8 and compat.PY3) or len(comps) > 1000000:
    401         f = lambda x, y: np.in1d(x, y)

/home/pietro/nobackup/repo/pandas/pandas/_libs/hashtable_func_helper.pxi in pandas._libs.hashtable.ismember_object (pandas/_libs/hashtable.c:29677)()

ValueError: Buffer dtype mismatch, expected 'Python object' but got 'double'

Problem description

Notice pd.DataFrame([[1,2], [3,4], [5,6]], index=['a','b', 'c']).drop([]) works just fine.

Expected Output

Just the original DataFrame.

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.7.0-1-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.utf8
LOCALE: it_IT.UTF-8

pandas: 0.20.1
pytest: 3.0.6
pip: 9.0.1
setuptools: None
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: 0.9.2
IPython: 5.1.0.dev
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.2
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.6
lxml: 3.7.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: 0.2.1

[lkirk]

Working on this as a part of the pycon sprint