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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 : ceef0da443a7bbb608fb0e251f06ae43a809b472 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

Comment From: 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])

Comment From: 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.

Comment From: 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

Comment From: 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 https://github.com/pandas-dev/pandas/issues/52284