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BUG: (v0.16.0) Series object being treated as a data frame object when using dt accessor #5112
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@susmitpy thanks for opening the issue! I was able to reproduce this issue. It looks like it was working properly on 0.15.3, but not anymore on the latest version of Modin as you mentioned. |
This seems like an issue at the partitioning layer. It looks like the error is happening in @anmyachev was wondering if you had any thoughts here? |
In the reproducer in the first post, We could probably fix this and cc @vnlitvinov as well since you helped get reduce usage of |
…y_compiler.dt_prop_map Signed-off-by: Bill Wang <billiam@ponder.io>
…t_prop_map` (#5133) Signed-off-by: Bill Wang <billiam@ponder.io>
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Reproducible Example
Issue Description
Upon performing an operation on two date time columns, when the dt accessor is used on the resulting series, even though the type of the variable "s" is "<class 'modin.pandas.series.Series'>". The error thrown is,
Expected Behavior
The output should be same as the output on version '0.15.3' and that is
Error Logs
Installed Versions
INSTALLED VERSIONS
commit : 621bc10
python : 3.9.13.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Sat Jun 18 17:07:25 PDT 2022; root:xnu-8020.140.41~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
Modin dependencies
modin : 0.16.0
ray : 1.9.0
dask : None
distributed : None
hdk : None
pandas dependencies
pandas : 1.5.0
numpy : 1.21.2
pytz : 2022.1
dateutil : 2.8.2
setuptools : 65.3.0
pip : 22.2.2
Cython : None
pytest : 7.1.3
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.4
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.01.0
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 9.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2022.01.0
scipy : 1.9.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None
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