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Reproducible Example

>>> import pandas as pd
>>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])
>>> idx.week
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'DatetimeIndex' object has no attribute 'week'
>>> idx.weekday # sanity check
Index([2, 5], dtype='int32')
>>> idx.weekofyear
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'DatetimeIndex' object has no attribute 'weekofyear'

Issue Description

weekofyear doesn't seem to be working

Expected Behavior

The week dt s week of the year as an integer should be returned

Installed Versions

pd.show_versions()
/private/tmp/envs/lib/python3.11/site-packages/_distutils_hack/ init .py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS

commit : 723feb9
python : 3.11.5.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:22:05 PDT 2023; root:xnu-8796.141.3~6/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8

pandas : 2.2.0dev0+208.g723feb984
numpy : 1.25.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.1.2
pip : 23.2.1
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
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 : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

This was deprecated in 1.1.0 and now it's suggested to use DatetimeIndex.isocalendar().week instead

It should be removed from the docs if that is the case.