BUG: .dt.microsecond for pyarrow-backed Series returns 0 #59154
Description
Pandas version checks
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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
In [22]: s = pd.Series(pd.date_range('2000', periods=3, freq='15ms')) In [23]: s.dt.microsecond Out[23]: 0 0 1 15000 2 30000 dtype: int32 In [24]: s.convert_dtypes(dtype_backend='pyarrow') Out[24]: 0 2000-01-01 00:00:00 1 2000-01-01 00:00:00.015000 2 2000-01-01 00:00:00.030000 dtype: timestamp[ns][pyarrow] In [25]: s.convert_dtypes(dtype_backend='pyarrow').dt.microsecond Out[25]: 0 0 1 0 2 0 dtype: int64[pyarrow]Issue Description
For non-pyarrow backed dtype, it returns the total number of microseconds since the last second
For pyarrow-backed, it just returns 0
Expected Behavior
In [25]: s.convert_dtypes(dtype_backend='pyarrow').dt.microsecond Out[25]: 0 0 1 15000 2 30000 dtype: int64[pyarrow]Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.11.9.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.153.1-microsoft-standard-WSL2
Version : #1 SMP Fri Mar 29 23:14:13 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 2.0.0
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 65.5.0
pip : 24.0
Cython : None
pytest : 8.1.1
hypothesis : 6.100.1
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.23.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.3.1
gcsfs : None
matplotlib : 3.8.4
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 16.1.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None