BUG: SparseFrameAccessor.to_dense ignores _constructor · Issue #59913 · pandas-dev/pandas (original) (raw)
Pandas version checks
- I have checked that this issue has not already been reported.
- I have confirmed this bug exists on the latest version of pandas.
- I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import scipy.sparse as sp import pandas as pd
class MF(pd.DataFrame): @property def _constructor(self): return MF
arr = pd.core.arrays.SparseArray.from_spmatrix(sp.csr_matrix((3, 1))) df = MF(arr) print(type(df.sparse.to_dense()).name)
Issue Description
to_dense
ignores _constructor
and always returns DataFrame
.
def to_dense(self) -> DataFrame:
from pandas import DataFrame
data = {k: v.array.to_dense() for k, v in self._parent.items()}
return DataFrame(data, index=self._parent.index, columns=self._parent.columns)
I think the code should look like this:
def to_dense(self) -> DataFrame:
data = {k: v.array.to_dense() for k, v in self._parent.items()}
constr = self._parent._constructor
return constr(data, index=self._parent.index, columns=self._parent.columns)
We use(d) an ugly workaround, but it will stop working in Pandas 3 because of #58733. See our temporary solution in biolab/orange3@98c48e1. :(
Expected Behavior
When subclassing DataFrame
(which, I know, is discouraged, but sometimes difficult to avoid), to_dense
should observe the constructor returned by _constructor
.
Installed Versions
INSTALLED VERSIONS
commit : 23c497b
python : 3.11.10
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:30 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 3.0.0.dev0+1524.g23c497bb2f
numpy : 1.26.4
dateutil : 2.9.0.post0
pip : 24.2
Cython : 3.0.11
sphinx : 4.5.0
IPython : 8.27.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.0b2
blosc : None
bottleneck : 1.4.0
fastparquet : None
fsspec : None
html5lib : 1.1
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 5.3.0
matplotlib : 3.9.2
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.3.3
python-calamine : None
pytz : 2024.2
pyxlsb : None
s3fs : None
scipy : 1.15.0.dev0+git20240926.4c936c8
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlsxwriter : 3.2.0
zstandard : None
tzdata : 2024.1
qtpy : 2.4.1
pyqt5 : None