BUG: regression in master for DataFrame.sparse.from_spmatrix #59212
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
from scipy.sparse import eye from pandas import DataFrame DataFrame.sparse.from_spmatrix(eye(5))Issue Description
(This bug does not exist on the latest version of pandas, but that checkbox was required to submit the issue.)
In main branch, the example produces a frame with entries 1.0 and NaN (sparse, with fill_value nan).
PR #59064 corrected a bug for other dtypes, but introduced this regression for float dtype.
Expected Behavior
In latest version (2.2.2) and earlier, produces a frame with entries 1.0 and 0.0 (sparse, with fill_value 0).
Installed Versions
INSTALLED VERSIONS
commit : 69fe98d
python : 3.12.4
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : English_United States.1252
pandas : 3.0.0.dev0+1170.g69fe98dda
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 24.0
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : 3.9.0
numba : None
numexpr : None
odfpy : None
openpyxl : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.2.2
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None