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
example = pd.DataFrame({"a": pd.arrays.SparseArray(["hello"]), "b": [1]})
for _, row in example.iterrows():
pass
Issue Description
The above example code prints out a warning of the form:
FutureWarning: The behavior of .astype from SparseDtype to a non-sparse dtype is deprecated. In a future version, this will return a non-sparse array with the requested dtype. To retain the old behavior, use `obj.astype(SparseDtype(dtype))
Expected Behavior
The code should produce no warnings.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7
python : 3.8.15.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Sun Nov 6 23:31:16 PST 2022; root:xnu-8020.240.14~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.2
numpy : 1.23.5
pytz : 2022.7
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.3.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli :
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.6.2
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.0
snappy : None
sqlalchemy : 1.4.46
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None
Comment From: frreiss
Never mind, this appears to be fixed at the head of the main branch.