BUG: DataFrame.drop() fails when `columns=` is given as tuple
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

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


### Reproducible Example

```python
import pandas as pd
import numpy as np

df = pd.DataFrame(np.arange(12).reshape(3, 4),
                  columns=['A', 'B', 'C', 'D'])

print(df.drop(columns=list(["A", "B"])))     # <-- Works
print(df.drop(columns=np.array(["A", "B"]))) # <-- Works
print(df.drop(columns=tuple(["A", "B"])))    # <-- Fails with KeyError
```


### Issue Description

The documentation says that the `columns=` argument of `DataFrame.drop()` can take a single label or list-like, but it fails when given a `tuple` with more than column name.  This method seems to work when the exact same column labels are provided as a `list` or a `np.ndarray`. 

Just an observation -- a `tuple` with `len()==1` does seem to work successfully here.

### Expected Behavior

For the above example, `df.drop(columns=("A", "B"))` should produce the same output as `columns=["A", "B"]` or `columns=np.array(["A", "B"])`, resulting in the following DataFrame:

```
    C   D
0   2   3
1   6   7
2  10  11
```

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : 73c68257545b5f8530b7044f56647bd2db92e2ba
python           : 3.8.11.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 17.7.0
Version          : Darwin Kernel Version 17.7.0: Fri Oct 30 13:34:27 PDT 2020; root:xnu-4570.71.82.8~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.3
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.0.1
setuptools       : 58.0.4
Cython           : None
pytest           : 6.2.5
hypothesis       : None
sphinx           : 4.2.0
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.1
IPython          : 7.28.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
