BUG: DataFrame.describe raises error for overlapping include/exclude even if there's no overlap

[wirable23]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

pd_df = pd.DataFrame({"A": [1,2,3]})
pd_df.describe(
        include=["float[pyarrow]"],
        exclude=["double[pyarrow]"],
    )

ValueError: include and exclude overlap on frozenset({<class 'float'>})

Issue Description

The error raised pertains to an overlapping type between include/exclude. While they are both floating types, it seems they are different types and this should be allowed.

Expected Behavior

>>> a = pd.DataFrame({"A": pd.Series([1,2,3], dtype="float32"), "B": pd.Series([1,2,3], dtype="float64")})
>>> a.describe(include="float32", exclude="float64")
         A
count  3.0
mean   2.0
std    1.0
min    1.0
25%    1.5
50%    2.0
75%    2.5
max    3.0
>>>

Expect numpy behavior, which allows this

Installed Versions

INSTALLED VERSIONS

commit : 37ea63d
python : 3.8.10.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.0.1
numpy : 1.23.4
pytz : 2023.2
dateutil : 2.8.2
setuptools : 60.8.2
pip : 23.1.1
Cython : None
pytest : 7.0.1
hypothesis : None
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 8.1.1
pandas_datareader: None
bs4 : 4.10.0
bottleneck : None
brotli : None
fastparquet : 2023.2.0
fsspec : 2023.3.0
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

[mroeschke]

Thanks for the report. To address this correctly something like #52576 (comment) will need to be addressed

[mroeschke]

Closing as a duplicate of #52576 (comment)