Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
>>> import pandas as pd
>>> pd.api.types.is_integer_dtype(pd.DataFrame([1, 2], dtype=pd.Int16Dtype()))
FalseIssue Description
According to the docs (https://pandas.pydata.org/docs/reference/api/pandas.api.types.is_integer_dtype.html):
The nullable Integer dtypes (e.g. pandas.Int64Dtype) are also considered as integer by this function.
Expected Behavior
Should return True
Installed Versions
commit : 06d2301
python : 3.8.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-91-generic
Version : #102-Ubuntu SMP Fri Nov 5 16:31:28 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.1
numpy : 1.22.2
pytz : 2021.3
dateutil : 2.8.2
pip : 20.0.2
setuptools : 44.0.0
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 : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None