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BUG: DataFrame Interchange Protocol errors on Boolean columns #55332
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…lled (#3210) * Work around pandas-dev/pandas#55332 * Only test boolean column with pandas >= 1.0.0
Thanks for bringing the issue to our attention. As you can see in the definition of I'm about to open a PR to raise a pandas/pandas/core/interchange/column.py Lines 130 to 149 in 6f0cd8d
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thanks for the report, thanks Paul Reece for your PR are we sure this is the solution? I think rather we should support nullable dtypes in the interchange protocol |
Makes sense! |
Anyone else can feel free to open a PR supporting nullable dtypes for the interchange protocol! I'll try to get to it eventually time permitting but if you have time now go for it! |
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
Issue Description
When converting a pandas DataFrame using the DataFrame Interchange Protocol, boolean columns result in an exception:
Expected Behavior
I expect the example above to successfully convert the pandas DataFrame to an Arrow table using the DataFrame Interchange Protocol.
Originally reported in the Vega-Altair project as vega/altair#3205
If it's not straightforward to support boolean columns, I would ask that an explicit
NotImplementedException
be raised (instead of anAttributeError
). Vega-Altair uses this as an indication to fall back to an alternative implementation.Installed Versions
INSTALLED VERSIONS
commit : e86ed37
python : 3.10.12.final.0
python-bits : 64
OS : Darwin
OS-release : 23.0.0
Version : Darwin Kernel Version 23.0.0: Fri Sep 15 14:41:43 PDT 2023; root:xnu-10002.1.13~1/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 2.1.1
numpy : 1.23.4
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.2
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : 5.3.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.5.0
pandas_datareader : None
bs4 : 4.11.1
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 13.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 2.0.19
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
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