BUG: DataFrame.isin fails when other is a categorical series
- [ ] I have checked that this issue has not already been reported.

- [ ] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---


#### Code Sample, a copy-pastable example

```python
import pandas as pd
print(pd.__version__)

x = pd.DataFrame.from_dict({'a':[1,2,3], 'b':[4,5,6]})
y = pd.DataFrame({'a':[1,2,3]}, dtype='category')
print(x.isin(y))

y = pd.Series([1,2,3]).astype('category')
print(x.isin(y))

1.0.3
      a      b
0  True  False
1  True  False
2  True  False
Traceback (most recent call last):
  File "/home/brmiller/repro.py", line 9, in <module>
    print(x.isin(y))
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/frame.py", line 8423, in isin
    return self.eq(values.reindex_like(self), axis="index")
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 814, in f
    self, other, op, fill_value=None, axis=axis, level=level
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 618, in _combine_series_frame
    new_data = left._combine_match_index(right, func)
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/frame.py", line 5317, in _combine_match_index
    new_data = func(self.values.T, other.values).T
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/common.py", line 64, in new_method
    return method(self, other)
  File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/arrays/categorical.py", line 72, in func
    raise ValueError("Lengths must match.")
ValueError: Lengths must match.

```

#### Problem description

This operation previously worked in pandas 0.25.3 and gave the same result as the case when other is a single column DataFrame. 

#### Expected Output
```
      a      b
0  True  False
1  True  False
2  True  False
      a      b
0  True  False
1  True  False
2  True  False
```


#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.6.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-76-generic
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.3
numpy            : 1.18.4
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.1
setuptools       : 46.4.0.post20200518
Cython           : 0.29.17
pytest           : 5.4.2
hypothesis       : 5.14.0
sphinx           : 3.0.3
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.14.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.15.0
pytables         : None
pytest           : 5.4.2
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : 0.49.1
</details>
