In 0.16.0 comparing MultiIndices using == raises an exception.
from StringIO import StringIO
import pandas as pd
# create a series using a multiindex
df = pd.read_csv(StringIO('a,b,c\n1,2,3'), index_col=[0, 1])
series = df['c']
series.index == series.index
# File "/Users/dan/venvs/pandas-0.16.0/lib/python2.7/site-packages/pandas/core/index.py", line 54, in wrapper
# func = getattr(self._data.view(np.ndarray), opname)
# AttributeError: 'NoneType' object has no attribute 'view'
print pd.__version__
#0.16.0
Another one I've come across is that there is an AttributeError when comparing indexes for which the underlying numpy arrays cannot be broadcast together. The error message itself is very obscure. I gather that .equals() can be used for what I'm trying to do in these examples, but still the errors when using == are surprising.
>>> pd.Index(['a', 'b']) == pd.Index(['a', 'b', 'c'])
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-44325051df92> in <module>()
----> 1 pd.Index(['a', 'b']) == pd.Index(['a', 'b', 'c'])
/Users/dan/venvs/pandas-0.16.0/lib/python2.7/site-packages/pandas/core/index.pyc in wrapper(self, other)
57 # technically we could support bool dtyped Index
58 # for now just return the indexing array directly
---> 59 if is_bool_dtype(result):
60 return result
61 try:
/Users/dan/venvs/pandas-0.16.0/lib/python2.7/site-packages/pandas/core/common.py in is_bool_dtype(arr_or_dtype)
2510
2511 def is_bool_dtype(arr_or_dtype):
-> 2512 tipo = _get_dtype_type(arr_or_dtype)
2513 return issubclass(tipo, np.bool_)
2514
/Users/dan/venvs/pandas-0.16.0/lib/python2.7/site-packages/pandas/core/common.py in _get_dtype_type(arr_or_dtype)
2439 elif isinstance(arr_or_dtype, CategoricalDtype):
2440 return CategoricalDtypeType
-> 2441 return arr_or_dtype.dtype.type
2442
2443
AttributeError: 'NotImplementedType' object has no attribute 'dtype'
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