BUG:  csv newline \n \r\n in Window with opened file
- [x] I have checked that this issue has not already been reported.
Related issue: #22497, the issues looks related, but it is 2 years old and does not have any update.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example
https://github.com/noklam/fsspec_pandas_bug_demo # if you need to download the data
```python
# Your code here
import pandas as pd
import fsspec
from fsspec.implementations.local import LocalFileSystem
fs = LocalFileSystem()
df = pd.read_csv('iris.csv')

with fs.open('iris_fsspec.csv', 'w') as f:
    df.to_csv(f)

df.to_csv('iris_classic_pandas.csv')

```

#### Problem description
![image](https://user-images.githubusercontent.com/18221871/98794612-36298980-2444-11eb-9cd8-62e1d08e178e.png)
The output csv behavior is inconsistent

#### Expected Output
Expected to have identical output.

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

<details>

[paste the output of ``pd.show_versions()`` here leaving a blank line after the details tag]
OS: Window 10
INSTALLED VERSIONS
------------------
commit           : 67a3d4241ab84419856b84fc3ebc9abcbe66c6b3
python           : 3.8.2.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.17763
machine          : AMD64
processor        : Intel64 Family 6 Model 85 Stepping 4, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : en_GB.UTF-8
LOCALE           : English_Hong Kong SAR.1252

pandas           : 1.1.4
numpy            : 1.19.1
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.1
setuptools       : 46.3.1.post20200515
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : 3.2.1
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10.3
IPython          : 7.15.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : 0.6.3
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.1
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.17.1
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : 1.3.17
tables           : None
tabulate         : 0.8.7
xarray           : None
xlrd             : None
xlwt             : None
numba            : None
</details>
