BUG: read_excel throws FileNotFoundError with s3fs objects
- [x] I have checked that this issue has not already been reported.

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

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

---

#### Code Sample
I get a FileNotFoundError when running the following code:
```python
import pandas as pd
import s3fs
fs = s3fs.S3FileSystem()
with fs.open('s3://bucket_name/filename.xlsx') as f:
    pd.read_excel(f)
    # NOTE: pd.ExcelFile(f) throws same error
```
```python-traceback
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "/home/airflow/GVIP/venv/lib/python3.8/site-packages/pandas/util/_decorators.py", line 299, in wrapper
    return func(*args, **kwargs)
  File "/home/airflow/GVIP/venv/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 336, in read_excel
    io = ExcelFile(io, storage_options=storage_options, engine=engine)
  File "/home/airflow/GVIP/venv/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 1062, in __init__
    ext = inspect_excel_format(
  File "/home/airflow/GVIP/venv/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 938, in inspect_excel_format
    with get_handle(
  File "/home/airflow/GVIP/venv/lib/python3.8/site-packages/pandas/io/common.py", line 648, in get_handle
    handle = open(handle, ioargs.mode)
FileNotFoundError: [Errno 2] No such file or directory: '<File-like object S3FileSystem, bucket_name/filename.xlsx>'
```

#### Problem description
I should be able to read in the File-like object from s3fs when using `pd.read_excel` or `pd.ExcelFile`. Pandas 1.1.x allows for this, but it looks like changes to `pd.io.common.get_handle` in 1.2 have made this impossible. The simple workaround for this is to just use the s3 URI instead of using `s3fs` to open it first, but to my knowledge, the ability to use `read_excel` with an s3fs object was not intended to be deprecated in 1.2. 

#### My noob guess on what's going wrong
I'm new to contributing to open source projects, so I don't know exactly how to fix this, but it looks like the issue is that the `pd.io.common.get_handle` method in 1.2 thinks the s3fs object is a file handle rather than a file-like buffer. To solve this, I would think something similar to the [`need_text_wrapping` boolean option](https://github.com/pandas-dev/pandas/blob/1.1.x/pandas/io/common.py#L503) from the `get_handle` method in 1.1.x needs to be added to 1.2's `get_handle` in order to tell pandas that the s3fs object needs a TextIOWrapper rather than treating it like a local file handle.

If someone could give me a little guidance on how to fix this, I'd be happy to give my first open-source contribution a go, but if that's not really how this works, I understand.

#### Expected Output
<class 'pandas.core.frame.DataFrame'>

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

<details>

INSTALLED VERSIONS
------------------
commit           : 3e89b4c4b1580aa890023fc550774e63d499da25
python           : 3.8.0.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.4.0-197-generic
Version          : #229-Ubuntu SMP Wed Nov 25 11:05:42 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.2.0
numpy            : 1.19.4
pytz             : 2020.4
dateutil         : 2.8.1
pip              : 20.3.3
setuptools       : 41.2.0
Cython           : None
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
fsspec           : 0.8.5
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.3
numexpr          : None
odfpy            : None
openpyxl         : 3.0.5
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : 0.5.2
scipy            : 1.5.4
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
