Missing labels when applying style gives a KeyError
#### Code Sample, a copy-pastable example if possible

```python
df = pd.DataFrame({"a": [1, 2, 3], "b":[4, 5, 6]})
df.style.bar(["a", "b", "c"])
```
#### Problem description

This issue occurs when passing a list of columns to `bar()` where one (or more) of the columns is not present in the dataframe. It will give a `KeyError`:

```
KeyError: 'Passing list-likes to .loc or [] with any missing labels is no longer supported, see https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike'
```

#### Expected Output

This error does not describe the problem. I would expect one of two possible outcomes:

1) An error message, which informs not to pass column names to `bar()` that are not present.
2) Fixing `_apply()` in `io/formats/style.py`  to deal with missing labels.

I would prefer option 2, but I can image that woudl not be the preferred behavior of pandas :-).

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

<details>

[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       : 4.4.0-17134-Microsoft
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 45.2.0.post20200209
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
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       : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None
</details>
