DataFrame.drop with empty DatetimeIndex behaves differently than passing empty Index
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd

df = pd.DataFrame({
    {'value': [1, 2]},
    index=[pd.Timestamp('2019-01-01'), pd.Timestamp('2019-01-01')]
})
df = df.drop(df[df['value'] > 10].index)
```
#### Problem description
When calling `drop` for dataframe with DatetimeIndex, the function may raise an exception. See the following traceback:
```
Traceback (most recent call last):
  File "main.py", line 7, in <module>
    df = df.drop(df[df['value'] > 10].index)
  File "pandas/pandas/core/frame.py", line 4042, in drop
    errors=errors,
  File "pandas/pandas/core/generic.py", line 3891, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "pandas/pandas/core/generic.py", line 3940, in _drop_axis
    labels_missing = (axis.get_indexer_for(labels) == -1).any()
  File "pandas/pandas/core/indexes/base.py", line 4769, in get_indexer_for
    indexer, _ = self.get_indexer_non_unique(target, **kwargs)
  File "pandas/pandas/core/indexes/base.py", line 4752, in get_indexer_non_unique
    indexer, missing = self._engine.get_indexer_non_unique(tgt_values)
  File "pandas/_libs/index.pyx", line 291, in pandas._libs.index.IndexEngine.get_indexer_non_unique
    stargets = set(targets)
TypeError: 'NoneType' object is not iterable
```

This can be avoided by not using `DataFrame.drop` like this:
```python
 df = df[df['value'] <= 10]
```
But nonetheless I'm reporting the issue as I expect `drop` to not raise the exception.


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

<details>

INSTALLED VERSIONS
------------------
commit           : 9f93d57025d7b906de6956f287b71cd18c17b13d
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.19.0-5-amd64
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.0.dev0+1184.g9f93d5702
numpy            : 1.16.2
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 19.2.2
setuptools       : 41.1.0
Cython           : 0.29.13
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
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
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None

</details>
