BUG: sort_values with ascending=None and key!=None raises exception
- [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.

- [ ] (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

```python
import pandas as pd

def do_nothing(value):
    return value

df = pd.DataFrame(
    {
        "col1": [2, 51, 17],
        "col2": [5.5, 3.3, 4.4],
        "col3": ["a", "b", "c"],
    },
)
print(df)
df1 = df.sort_values(by=["col1"], ascending=None, key=do_nothing)
print(df1)
```

#### Problem description

Output is
```
   col1  col2 col3
0     2   5.5    a
1    51   3.3    b
2    17   4.4    c
Traceback (most recent call last):
  File "sort_values_test9.py", line 14, in <module>
    df1 = df.sort_values(by=["col1"], ascending=None, key=do_nothing)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 5464, in sort_values
    indexer = nargsort(
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/sorting.py", line 354, in nargsort
    return nargsort(
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/sorting.py", line 368, in nargsort
    return items.argsort(ascending=ascending, kind=kind, na_position=na_position)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/arrays/base.py", line 583, in argsort
    ascending = nv.validate_argsort_with_ascending(ascending, args, kwargs)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/compat/numpy/function.py", line 150, in validate_argsort_with_ascending
    validate_argsort_kind(args, kwargs, max_fname_arg_count=3)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/compat/numpy/function.py", line 67, in __call__
    validate_args_and_kwargs(
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/util/_validators.py", line 205, in validate_args_and_kwargs
    validate_kwargs(fname, kwargs, compat_args)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/util/_validators.py", line 149, in validate_kwargs
    _check_for_default_values(fname, kwds, compat_args)
  File "/home/gregory/work/miniconda3/envs/modin/lib/python3.8/site-packages/pandas/util/_validators.py", line 65, in _check_for_default_values
    raise ValueError(
ValueError: the 'axis' parameter is not supported in the pandas implementation of argsort()
```

Function `validate_argsort_with_ascending` inserts a value for `ascending` argument in case it is `None`, but later this value is considered as a value of `axis` parameter for some reason. This leads to an exception instead of a normal operation.

#### Expected Output

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

<details>

[paste the output of ``pd.show_versions()`` here leaving a blank line after the details tag]

INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.8.6.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-72-generic
Version          : #80-Ubuntu SMP Mon Apr 12 17:35:00 UTC 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.2.4
numpy            : 1.19.5
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.0.1
setuptools       : 49.6.0.post20210108
Cython           : None
pytest           : 6.2.3
hypothesis       : None
sphinx           : 3.5.4
blosc            : None
feather          : 0.4.1
xlsxwriter       : None
lxml.etree       : 4.6.3
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : 7.20.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : 0.8.5
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.2
numexpr          : 2.7.2
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : 0.15.0
pyarrow          : 1.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.6.2
sqlalchemy       : 1.4.8
tables           : 3.6.1
tabulate         : None
xarray           : 0.17.0
xlrd             : 2.0.1
xlwt             : None
numba            : None

</details>
