Test Case for to_csv to sys.stdout
#### Code Sample, a copy-pastable example if possible

```python
#! /usr/bin/env python3

import sys
import pandas as pd
import numpy as np

data = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)),
                    columns=['a', 'b', 'c', 'd', 'e'])

print('--------- Output ----------')
data.to_csv(sys.stdout, index=False)
print('---------------------------')

```
#### Problem description

No output to sys.stdout.

#### Expected Output
+++++++++ Output ++++++++++
a,b,c,d,e
8,7,1,3,4
6,7,0,1,2
8,0,9,4,1
1,1,9,0,4
8,1,2,9,2
+++++++++++++++++++++++++++

Output with 0.23.1

+++++++++ Output ++++++++++
+++++++++++++++++++++++++++

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

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-128-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.1
pytest: None
pip: 10.0.1
setuptools: 39.2.0
Cython: None
numpy: 1.14.5
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.5
patsy: None
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.4
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.5
lxml: 4.2.1
bs4: None
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
