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Keywords {🔍}

bug, pandas, issue, jrbourbeau, sign, isintegerdtype, projects, false, phofl, mentioned, navigation, pull, requests, actions, security, returns, integer, arrowdtypes, closed, description, version, confirmed, exists, arrow, dtypes, intpyarrow, triage, reviewed, team, member, mroeschke, recognizing, github, type, milestone, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, pandasdev, public,

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int-based arrow dtypes assigned labels bug personal information bug float]_dtypes functions comment metadata assignees cast nullable columns is_integer_dtype returns false is_integer_dtype returning false `is_integer_dtype` returns `false` latest version type projects import pandas projects milestone triage issue nullable dtypes bug exists is_[int integer `arrowdtype` pandas expect is_integer_dtype main branch int64[pyarrow] expected behavior return true int32[pyarrow] milestone relationships issue github bug result = pd is_integer_dtype sign {result = } pd = pd skip jump checked reported confirmed reproducible series dtype= api types dtype print input reviewed is_any_int_dtype

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      headline:BUG: `is_integer_dtype` returns `False` for integer `ArrowDtype`s
      articleBody:### Pandas version checks - [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 main branch of pandas. ### Reproducible Example ```python 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 https://github.com/pandas-dev/pandas/issues/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 <details> ``` 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 ``` </details>
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      headline:BUG: `is_integer_dtype` returns `False` for integer `ArrowDtype`s
      articleBody:### Pandas version checks - [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 main branch of pandas. ### Reproducible Example ```python 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 https://github.com/pandas-dev/pandas/issues/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 <details> ``` 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 ``` </details>
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