Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] 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
>>> pd.DataFrame({"int":[1,2,3,4],"float":[1.0,1.0,1.0,1.0]}).iloc[0].to_dict()
{'int': 1.0, 'float': 1.0}
Issue Description
When using the to_dict() function the dtype is converted to float although it should still be int
Expected Behavior
>>> pd.DataFrame({"int":[1,2,3,4],"float":[1.0,1.0,1.0,1.0]}).iloc[0].to_dict()
{'int': 1, 'float': 1.0}
Installed Versions
INSTALLED VERSIONS
------------------
commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7
python : 3.10.9.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.79.1-microsoft-standard-WSL2
Version : #1 SMP Wed Nov 23 01:01:46 UTC 2022
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.2
numpy : 1.23.5
pytz : 2022.6
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.3.1
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.6.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None
Might be related: https://github.com/pandas-dev/pandas/issues/21256 https://github.com/pandas-dev/pandas/issues/20791
Comment From: phofl
Hi, thanks for your report. This is expected and unrelated to to_dict. The iloc call returns a Series which tries to find a common dtype, e.g. float. Hence the conversion happens