Description
Modin version checks
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I have confirmed this bug exists on the latest released version of Modin.
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Reproducible Example
import modin.pandas as pd
df.attrs["x"] = 1
df.attrs # attrs dict is still emptyIssue Description
DataFrame.attrs lets users specify metadata on frames that are deep-copied to new dataframes when operations are performed. In Modin, attrs defaults to pandas, but this means that any writes to it are not reflected in the original frame, much less any other operations.
When a write to attrs is attempted, it only modifies the attrs field of the native pandas.DataFrame that's produced within DataFrame._default_to_pandas, and the modin.pandas.DataFrame has no knowledge of this operation.
Expected Behavior
Writes to attrs are reflected in subsequent read operations, and propagated across operations.
Error Logs
Replace this line with the error backtrace (if applicable).
Installed Versions
INSTALLED VERSIONS
commit : 1c4d173
python : 3.10.13.final.0
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:13:04 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6020
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
Modin dependencies
modin : 0.32.0+6.g1c4d173d
ray : 2.34.0
dask : 2024.8.1
distributed : 2024.8.1
pandas dependencies
pandas : 2.2.2
numpy : 1.26.4
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.3
Cython : None
pytest : 8.3.2
hypothesis : None
sphinx : 5.3.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 5.3.0
html5lib : None
pymysql : None
psycopg2 : 2.9.9
jinja2 : 3.1.4
IPython : 8.17.2
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat : None
fastparquet : 2024.5.0
fsspec : 2024.6.1
gcsfs : None
matplotlib : 3.9.2
numba : None
numexpr : 2.10.1
odfpy : None
openpyxl : 3.1.5
pandas_gbq : 0.23.1
pyarrow : 17.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : 2024.6.1
scipy : 1.14.1
sqlalchemy : 2.0.32
tables : 3.10.1
tabulate : None
xarray : 2024.7.0
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None