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
import pandas as pd
import datetime as dt
s = pd.Series([dt.date(2022, 12, 30)], dtype="date32[pyarrow]")
_ = s + pd.offsets.MonthEnd()Issue Description
I receive the following error message:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/ops/common.py", line 76, in new_method
return method(self, other)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arraylike.py", line 186, in __add__
return self._arith_method(other, operator.add)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/series.py", line 6130, in _arith_method
return base.IndexOpsMixin._arith_method(self, other, op)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/base.py", line 1380, in _arith_method
result = ops.arithmetic_op(lvalues, rvalues, op)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/ops/array_ops.py", line 273, in arithmetic_op
res_values = op(left, right)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/ops/common.py", line 76, in new_method
return method(self, other)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arraylike.py", line 186, in __add__
return self._arith_method(other, operator.add)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arrays/arrow/array.py", line 785, in _arith_method
return self._evaluate_op_method(other, op, ARROW_ARITHMETIC_FUNCS)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arrays/arrow/array.py", line 727, in _evaluate_op_method
other = self._box_pa(other)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arrays/arrow/array.py", line 408, in _box_pa
return cls._box_pa_scalar(value, pa_type)
File "/home/myUser/Experiments/pandas/pandas_venv/lib64/python3.9/site-packages/pandas/core/arrays/arrow/array.py", line 444, in _box_pa_scalar
pa_scalar = pa.scalar(value, type=pa_type, from_pandas=True)
File "pyarrow/scalar.pxi", line 1150, in pyarrow.lib.scalar
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: No temporal attributes found on object.
Expected Behavior
Since it is a date-datatype, the DateOffset should be applied as for TimeStamps, i.e. the result should be
pd.Series( [dt.date(2022,12,31)], dtype="date32[pyarrow]").
Installed Versions
INSTALLED VERSIONS
commit : db11e25
python : 3.9.18.final.0
python-bits : 64
OS : Linux
OS-release : 4.18.0-513.9.1.el8_9.x86_64
Version : #1 SMP Thu Nov 16 10:29:04 EST 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 3.0.0.dev0+197.gdb11e25d2b
numpy : 1.26.3
pytz : 2023.4
dateutil : 2.8.2
setuptools : 50.3.2
pip : 20.2.4
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
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 : 15.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.4
qtpy : None
pyqt5 : None