to_csv compression dict option 'archive_name' should accept os.PathLike
#### Code Sample, a copy-pastable example if possible

```python
import numpy as np
import pandas as pd
from pathlib import Path

random_data = np.random.standard_normal(size=(1000, 3))
data = pd.DataFrame(random_data, columns=['A', 'B', 'C'])
csv_file = Path('random_data.zip')
data .to_csv(csv_file.with_suffix('.zip'), index=False, compression={'method': 'zip', 'archive_name': csv_file})
```
#### Problem description

The Python std lib has made a tremendous effort to support os.PathLike objects, especially pathlib.Path, across the standard library. [ZipFile was somewhat recently patched](https://bugs.python.org/issue28231) to add PathLike support for externally facing paths, but it appears they did not add this support to ZipInfo which is used to interface with the files within a zip archive.

DataFrame's `to_csv()` method was [recently updated](https://github.com/pandas-dev/pandas/pull/26024) to handle passing additional arguments when using zip compression. If compression is specified as a `dict` and `archive_name` is passed as a key, the value currently must be a `str` because ZipInfo requires a string. Since pandas has exposed this to the user it would be nice for PathLike objects like `pathlib.Path` to get converted to a `str` before being passed to ZipInfo.

If someone wants to raise this upstream on the Python issue tracker, that's also an acceptable outcome. Perhaps this was just an oversight on the [previous issue](https://bugs.python.org/issue28231) where they neglected to consider the arguments to ZipInfo as externally facing.

#### Expected Output

 - Zip file is saved with no exceptions
 - Zip file contains a *.csv file (it's only because pandas defaults to creating a zip file containing an identically named zip file that passing `archive_name` is necessary for what should be default behavior.  <sigh>)

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.2.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
processor        : Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.None

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 40.6.2
Cython           : 0.29.14
pytest           : 4.2.0
hypothesis       : None
sphinx           : 2.1.2
blosc            : None
feather          : None
xlsxwriter       : 1.2.2
lxml.etree       : 4.3.1
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10
IPython          : 7.8.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.3.1
matplotlib       : 3.1.1
numexpr          : 2.6.9
odfpy            : None
openpyxl         : 3.0.0
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : 4.2.0
pyxlsb           : None
s3fs             : None
scipy            : 1.3.2
sqlalchemy       : 1.3.6
tables           : 3.4.4
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : 1.2.2
numba            : 0.46.0

</details>
