BUG: is_integer_dtype returns False for integer ArrowDtypes · Issue #50667 · pandas-dev/pandas (original) (raw)
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 s = pd.Series([1, 2, 3], dtype="int64[pyarrow]") result = pd.api.types.is_integer_dtype(s.dtype) print(f"{result = }")
Issue Description
Similar to #50563, but for is_integer_dtype returning False when int-based arrow dtypes are input.
Expected Behavior
I'd expect is_integer_dtype to return True for int64[pyarrow], int32[pyarrow], etc.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 5115f0964a47c116e3899156ec6ccfd02c58960e
python : 3.10.4.final.0
python-bits : 64
OS : Darwin
OS-release : 22.2.0
Version : Darwin Kernel Version 22.2.0: Fri Nov 11 02:08:47 PST 2022; root:xnu-8792.61.2~4/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.0.dev0+1129.g5115f0964a
numpy : 1.24.0
pytz : 2022.1
dateutil : 2.8.2
setuptools : 59.8.0
pip : 22.0.4
Cython : None
pytest : 7.1.3
hypothesis : None
sphinx : 4.5.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.2.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli :
fastparquet : 2022.12.1.dev5
fsspec : 2022.10.0
gcsfs : None
matplotlib : 3.5.1
numba : None
numexpr : 2.8.0
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0.dev316
pyreadstat : None
pyxlsb : None
s3fs : 2022.10.0
scipy : 1.9.0
snappy :
sqlalchemy : 1.4.35
tables : 3.7.0
tabulate : None
xarray : 2022.3.0
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None