Description
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
import pandas as pd
df = pd.DataFrame({
'a': [1, 2, 3],
'b': pd.Series([True, False, True], dtype=pd.BooleanDtype()),
})
print(df.select_dtypes(include='number').columns)
# Output: Index(['a', 'b'], dtype='object')Issue Description
The DataFrame.select_dtypes method includes columns with dtype of BooleanDtype when include='number' is given as a kwarg. This is different than the behavior for columns with dtype of bool and seems like a bug.
Expected Behavior
The code above should output: Index(['a'], dtype='object')
Installed Versions
INSTALLED VERSIONS
commit : 4bfe3d0
python : 3.9.12.final.0
python-bits : 64
OS : Darwin
OS-release : 20.6.0
Version : Darwin Kernel Version 20.6.0: Tue Feb 22 21:10:41 PST 2022; root:xnu-7195.141.26~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.2
numpy : 1.21.5
pytz : 2021.3
dateutil : 2.8.2
pip : 21.2.4
setuptools : 59.8.0
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 : 8.2.0
pandas_datareader: None
bs4 : None
bottleneck : 1.3.4
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : None
matplotlib : None
numba : None
numexpr : 2.8.1
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None