BUG: AttributeError: 'ArrowTemporalProperties' object has no attribute 'year'

[char101]

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 pandas as pd
from datetime import datetime

s = pd.Series([datetime.now()], dtype='date32[pyarrow]')
s.dt.day
Out[17]: 
0    31
dtype: int64[pyarrow]

s.dt.month
Out[18]: 
0    3
dtype: int64[pyarrow]

s.dt.year
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In [19], line 1
----> 1 s.dt.year

AttributeError: 'ArrowTemporalProperties' object has no attribute 'year'

Issue Description

Hi,

Why isn't year available as a property of .dt of a date32/date64 pyarrow series, although day and month is available? I have checked and there is a compute pyarrow function for year.

Expected Behavior

Can access year via dt of a date32/date64 pyarrow series.

Installed Versions

INSTALLED VERSIONS

commit : ceef0da
python : 3.11.1.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19043
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Indonesia.1252

pandas : 2.1.0.dev0+368.gceef0da443
numpy : 1.24.2
pytz : 2022.6
dateutil : 2.8.2
setuptools : 65.6.3
pip : 23.0.1
Cython : 0.29.32
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : None
psycopg2 : 2.9.5
jinja2 : 3.1.2
IPython : 8.6.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.7
brotli : 1.0.9
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.0
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : 1.4.45
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
zstandard : None
tzdata : 2022.6
qtpy : 2.3.0
pyqt5 : None

[char101]

Looks like these functions haven't been implemented yet in the ArrowExtensionArray class

iso_week(values, /, *[, memory_pool])
iso_year(values, /, *[, memory_pool])
millisecond(values, /, *[, memory_pool])
subsecond(values, /, *[, memory_pool])
us_week(values, /, *[, memory_pool])
us_year(values, /, *[, memory_pool])
week(values, /, *[, week_starts_monday, ...])
year(values, /, *[, memory_pool])
year_month_day(values, /, *[, memory_pool])

[jdb78]

'days' etc are also missing for time deltas. Both should be easy to add and they are likely to break a lot of code if they are missing.

[MarcoGorelli]

thanks for the report

Why isn't year available as a property of .dt of a date32/date64 pyarrow series, although day and month is available?

quite a lot still needs doing for pyarrow to be complete - if you're interested in helping out, that'd be fantastic, here's the contributing guide https://pandas.pydata.org/docs/dev/development/contributing.html

[mroeschke]

Looks like these functions haven't been implemented yet in the ArrowExtensionArray class

Note not all pyarrow compute functions have related dt accessor methodes

'days' etc are also missing for time deltas. Both should be easy to add and they are likely to break a lot of code if they are missing.

Pyarrow compute functions don't work on duration types currently #52284