Code Sample, a copy-pastable example if possible

I first discovered this issue attempting a comparison of the following form

Case 1

>>> import pandas as pd
>>> import numpy as np

>>> a = pd.Series(pd.core.arrays.SparseArray(np.arange(10)))
>>> b = pd.Series(np.arange(11))
>>> (a == 5) & (b == 5)

which raises the following uninformative AttirbuteError

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-78-bb3d3268cfcc> in <module>
----> 1 (a == 5) & (b == 5)

/usr/lib/python3.8/site-packages/pandas/core/ops/__init__.py in wrapper(self, other)
   1319         #   integer dtypes.  Otherwise these are boolean ops
   1320         filler = fill_int if is_self_int_dtype and is_other_int_dtype else fill_bool
-> 1321         res_values = na_op(self.values, ovalues)
   1322         unfilled = self._constructor(res_values, index=self.index, name=res_name)
   1323         filled = filler(unfilled)

/usr/lib/python3.8/site-packages/pandas/core/ops/__init__.py in na_op(x, y)
   1252     def na_op(x, y):
   1253         try:
-> 1254             result = op(x, y)
   1255         except TypeError:
   1256             assert not isinstance(y, (list, ABCSeries, ABCIndexClass))

/usr/lib/python3.8/site-packages/pandas/core/arrays/sparse.py in cmp_method(self, other)
   1821 
   1822             if isinstance(other, SparseArray):
-> 1823                 return _sparse_array_op(self, other, op, op_name)
   1824             else:
   1825                 with np.errstate(all="ignore"):

/usr/lib/python3.8/site-packages/pandas/core/arrays/sparse.py in _sparse_array_op(left, right, op, name)
    493             right_sp_values = right.sp_values
    494 
--> 495         sparse_op = getattr(splib, opname)
    496 
    497         with np.errstate(all="ignore"):

AttributeError: module 'pandas._libs.sparse' has no attribute 'sparse_and_object'

Note, if a and b are of the same length, this code runs fine: Case 2

a = pd.Series(pd.SparseArray(np.arange(10)))
b = pd.Series(np.arange(10))

(a == 5) & (b == 5)

returns

0    False
1    False
2    False
3    False
4    False
5     True
6    False
7    False
8    False
9    False
dtype: Sparse[bool, False]

and if they are both non-sparse, the code evaluates fine. Case 3

a = pd.Series(np.arange(10))
b = pd.Series(np.arange(11))

(a == 5) & (b == 5)

0     False
1     False
2     False
3     False
4     False
5      True
6     False
7     False
8     False
9     False
10    False
dtype: bool

Expected Output

I expect one of two behaviors:

  1. An error message that states the two arrays must be of even length in Case 1
  2. The code in Case 1 to return the same output as in Case 3

Output of pd.show_versions()

[paste the output of ``pd.show_versions()`` here below this line] INSTALLED VERSIONS ------------------ commit : None python : 3.8.1.final.0 python-bits : 64 OS : Linux OS-release : 5.4.7-arch1-1 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 0.25.3 numpy : 1.18.0 pytz : 2019.3 dateutil : 2.8.1 pip : 19.2.3 setuptools : 42.0.2 Cython : 0.29.14 pytest : 5.3.2 hypothesis : 4.54.2 sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.4.2 html5lib : 1.0.1 pymysql : None psycopg2 : None jinja2 : 2.10.3 IPython : 7.11.1 pandas_datareader: 0.8.1 bs4 : 4.8.2 bottleneck : 1.3.1 fastparquet : None gcsfs : None lxml.etree : 4.4.2 matplotlib : 3.0.3 numexpr : 2.7.0 odfpy : None openpyxl : 3.0.1 pandas_gbq : None pyarrow : None pytables : None s3fs : None scipy : 1.4.1 sqlalchemy : 1.3.12 tables : 3.6.1 xarray : None xlrd : 1.2.0 xlwt : 1.3.0 xlsxwriter : None

Comment From: dburkhardt

Also I should note, I would be happy to help submit a bugfix here. I haven't contributed to pandas before, and I'm not super familiar with the SpareArray code (which I understand is under active development). If someone can tell me what the correct behavior should be here and point me in the right direction to fix it, I'm happy to help out. Not a problem if it's better fixed by one of the core devs though.