`df.loc[mask, 'column'] = df['column2']` fails if mask is all False and column is a localized datetime
#### Code Sample

```python
import pandas as pd

df1 = pd.DataFrame({
    'dt': pd.to_datetime(['2017-07-17 00:00:00', '2018-08-08 00:00:00']),
    'dt_tz': pd.to_datetime(['2017-07-17 00:00:00', '2018-08-08 00:00:00'], utc=True),
    'char': ['a', 'b'],
    'num':  [1, 2]
})

df2 = pd.DataFrame({
    'dt': pd.to_datetime(['2019-09-19 00:00:00', '2020-02-20 00:00:00']),
    'dt_tz': pd.to_datetime(['2019-09-19 00:00:00', '2020-02-20 00:00:00'], utc=True),
    'char': ['c', 'd'],
    'num':  [3, 4],
})

mask = pd.Series([False, False])

# the following lines do nothing (as expected) because mask is all False
df1.loc[mask, "dt"] = df2["dt"]
df1.loc[mask, "char"] = df2["char"] 
df1.loc[mask, "num"] = df2["num"]

```

```python
# this line should do nothing, too. But instead it raises a ValueError
df1.loc[mask, "dt_tz"] = df2["dt_tz"]
```

Traceback:
<details>

```python
ValueError                                Traceback (most recent call last)
<ipython-input-3-17df28957215> in <module>
----> 1 df1.loc[mask, "dt_tz"] = df2["dt_tz"]

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/indexing.py in __setitem__(self, key, value)
    668             key = com.apply_if_callable(key, self.obj)
    669         indexer = self._get_setitem_indexer(key)
--> 670         self._setitem_with_indexer(indexer, value)
    671 
    672     def _validate_key(self, key, axis: int):

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/indexing.py in _setitem_with_indexer(self, indexer, value)
   1009                     labels, value, plane_indexer, lplane_indexer, self.obj
   1010                 ):
-> 1011                     setter(labels[0], value)
   1012 
   1013                 # per label values

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/indexing.py in setter(item, v)
    959                     s._consolidate_inplace()
    960                     s = s.copy()
--> 961                     s._data = s._data.setitem(indexer=pi, value=v)
    962                     s._maybe_update_cacher(clear=True)
    963 

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/internals/managers.py in setitem(self, **kwargs)
    559 
    560     def setitem(self, **kwargs):
--> 561         return self.apply("setitem", **kwargs)
    562 
    563     def putmask(self, **kwargs):

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/internals/managers.py in apply(self, f, filter, **kwargs)
    440                 applied = b.apply(f, **kwargs)
    441             else:
--> 442                 applied = getattr(b, f)(**kwargs)
    443             result_blocks = _extend_blocks(applied, result_blocks)
    444 

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/internals/blocks.py in setitem(self, indexer, value)
   2439             isinstance(indexer, np.ndarray) and indexer.size == 0
   2440         ):
-> 2441             return super().setitem(indexer, value)
   2442 
   2443         obj_vals = self.values.astype(object)

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/internals/blocks.py in setitem(self, indexer, value)
   1794             indexer = indexer[0]
   1795 
-> 1796         check_setitem_lengths(indexer, value, self.values)
   1797         self.values[indexer] = value
   1798         return self

~/.virtualenvs/lr/lib/python3.7/site-packages/pandas/core/indexers.py in check_setitem_lengths(indexer, value, values)
    112             ):
    113                 raise ValueError(
--> 114                     "cannot set using a list-like indexer "
    115                     "with a different length than the value"
    116                 )

ValueError: cannot set using a list-like indexer with a different length than the value
```

</details>


#### Problem description

When mask is all False and the column is a localized datetime, it raises the error: `ValueError: cannot set using a list-like indexer with a different length than the value`.
This doesn't happens when the column is another type like naive datetime, str or int.

#### Expected Output

`df1.loc[mask, "dt_tz"] = df2["dt_tz"]` shouldn't raise an error, just do nothing.

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.5.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.3.0-40-generic
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 45.0.0
Cython           : 0.29.15
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.2
html5lib         : None
pymysql          : 0.9.3
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.2.0
pandas_datareader: None
bs4              : 4.8.2
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.2
matplotlib       : 3.0.2
numexpr          : None
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : None
pyarrow          : 0.13.0
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : 1.2.17
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : None
numba            : None


</details>
