Series.map(m: Mapping) can fail with "object is not callable"
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
from collections import UserDict, Counter

class MissingDict(UserDict):
    def __missing__(self, key):
        return key

s = pd.Series(list("aab"))
s.map(Counter({"a": 1}))
# 0    1
# 1    1
# 2    0
# dtype: int64

s.map(MissingDict({"a": "c"}))
# <ipython-input-48-6cd4b0d364c9> in <module>
# ----> 1 s.map(MissingDict({"a": "c"}))

# /usr/local/lib/python3.7/site-packages/pandas/core/series.py in map(self, arg, na_action)
#    3826         dtype: object
#    3827         """
# -> 3828         new_values = super()._map_values(arg, na_action=na_action)
#    3829         return self._constructor(new_values, index=self.index).__finalize__(self)
#    3830 

# /usr/local/lib/python3.7/site-packages/pandas/core/base.py in _map_values(self, mapper, na_action)
#    1298 
#    1299         # mapper is a function
# -> 1300         new_values = map_f(values, mapper)
#    1301 
#    1302         return new_values

# pandas/_libs/lib.pyx in pandas._libs.lib.map_infer()

# TypeError: 'MissingDict' object is not callable
```

#### Problem description

`Series.map` can sometimes take Mapping subclasses other than `dict`, but not always. I think it would make sense if any object that satisfied `isinstance(x, collections.abc.Mapping)` could be used as a mapping. I came across this while trying to use map where I only wanted values present as keys in the mapping to change (I went for `s.map(lambda x: {"a": "b"}.get(x, x))` as a workaround).

`collections.Counter` and `collections.defaultdict` work fine, which made me expect other `Mapping`s would as well.

#### Expected Output

I expected `s.map(MissingDict({"a": "c"}))` to do something like:

```python
s.map(lambda x: MissingDict({"a": "c"})[x])
# 0    c
# 1    c
# 2    b
# dtype: object
```

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

<details>

```
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 18.7.0
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.3
numpy            : 1.17.4
pytz             : 2018.9
dateutil         : 2.7.5
pip              : 19.3.1
setuptools       : 41.6.0
Cython           : 0.29.14
pytest           : 5.2.2
hypothesis       : 4.44.1
sphinx           : 2.2.1
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.1
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.9.0
pandas_datareader: None
bs4              : 4.8.1
bottleneck       : None
fastparquet      : 0.3.2
gcsfs            : None
lxml.etree       : 4.4.1
matplotlib       : 3.0.3
numexpr          : 2.7.0
odfpy            : None
openpyxl         : 2.6.2
pandas_gbq       : None
pyarrow          : 0.15.1
pytables         : None
s3fs             : None
scipy            : 1.3.2
sqlalchemy       : None
tables           : 3.6.1
xarray           : 0.14.0
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
```

</details>
