Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
>>> # pandas 1.5.2
>>> index = pd.DatetimeIndex(['2000-01-01 12:00:00+00:00'])
>>> type(index.tz)
<class 'pytz.UTC'>
>>> index.tz.zone
'UTC'
>>> # pandas 2.0.1
>>> import pytz
>>> index = pd.DatetimeIndex(['2000-01-01 12:00:00+00:00'])
>>> type(index.tz)
<class 'datetime.timezone'>
>>> index.tz.zone
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'datetime.timezone' object has no attribute 'zone'
```
Issue Description
In pandas 1.5.2 I am able to check the timezone of a DatetimeIndex as shown in the example.
In pandas 2.0.1 I'm getting a ValueError, because the type of the tz attribute changed.
Expected Behavior
I don't know if this is a bug, I did not expect the type of tz to change when upgrading pandas.
If this is not a bug, how would I check the timezone of a DatetimeIndex correctly?
Installed Versions
For 1.5.2
INSTALLED VERSIONS
------------------
commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7
python : 3.8.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD
byteorder : little
LC_ALL : None
LANG : None
LOCALE : de_DE.cp1252
pandas : 1.5.2
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 49.2.1
pip : 20.2.3
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
brotli : 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
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : 2023.3
For 2.0.1
INSTALLED VERSIONS
------------------
commit : 37ea63d540fd27274cad6585082c91b1283f963d
python : 3.8.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD
byteorder : little
LC_ALL : None
LANG : None
LOCALE : de_DE.cp1252
pandas : 2.0.1
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 49.2.1
pip : 20.2.3
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
brotli : 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
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
Comment From: mroeschke
Yes: https://pandas.pydata.org/docs/dev/whatsnew/v2.0.0.html#utc-and-fixed-offset-timezones-default-to-standard-library-tzinfo-objects
.tz will continue to return the timezone of a DatetimeIndex, so closing