Creating an empty dataframe with columns names fails in python 3.7, works in python 3.6
#### Code Sample, a copy-pastable example if possible

```python
data = []
pd.DataFrame(data, columns=['col'])
```


#### Problem description

The expected behaviour should be the 3.6 one on both cases. Failing that, it should be consistent for 3.6 and 3.7.

np version 1.15.2 ; pandas version 0.23.4 

#### Expected Output

Expected: Empty dataframe with one col named 'col' in both cases.
Python 3.6: above
Python 3.7: `TypeError: int() argument must be a string, a bytes-like object or a number, not '_NoValueType'`


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

<details>

[paste the output of ``pd.show_versions()`` here below this line]
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.3.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: 4.4.0
pip: 19.0.3
setuptools: 40.8.0
Cython: None
numpy: 1.16.2
scipy: 1.2.0
pyarrow: None
xarray: None
IPython: 7.3.0
sphinx: None
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2019.1
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: 1.2.0
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
