[Regression] DataFrame.replace throws TypeError when to_replace is list and DF has categorical
#### Code Sample

```python
df = pd.DataFrame({
    'x': pd.Series([-np.inf, np.inf]),
    'y': pd.Series(["a", "b"], dtype="category")
})

df.replace([-np.inf, np.inf], np.nan)
```
results in
```
...
~/anaconda/envs/grapy/lib/python3.7/site-packages/pandas/core/indexes/base.py in __contains__(self, key)
   3898     @Appender(_index_shared_docs["contains"] % _index_doc_kwargs)
   3899     def __contains__(self, key) -> bool:
-> 3900         hash(key)
   3901         try:
   3902             return key in self._engine

TypeError: unhashable type: 'list'
```
#### Problem description

When a DF contains a categorical column, and when `to_replace` argument is a list, `replace()` throws `TypeError: unhashable type: 'list'`.

#### Expected Output
When the `to_replace` argument is a tuple rather than a list (which is not a documented option), all seems good:

```python
df.replace((-np.inf, np.inf), np.nan)
```

```
    x  y
0 NaN  a
1 NaN  b
```

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.6.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 19.2.0
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.0
pip              : 20.0.2
setuptools       : 45.2.0.post20200209
Cython           : None
pytest           : 5.3.5
hypothesis       : None
sphinx           : 2.4.3
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.1
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.12.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.1
matplotlib       : 3.1.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.16.0
pytables         : None
pytest           : 5.3.5
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : 0.48.0

</details>
