Closed
Description
Pandas version checks
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I have checked that this issue has not already been reported.
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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
import pandas as pd
from pandas.tseries.offsets import CustomBusinessDay
pd.PeriodDtype(freq=CustomBusinessDay()) # raises TypeError: CustomBusinessDay cannot be used with Period or PeriodDtypeIssue Description
The above works on 2.0 without any FutureWarning but raises on main.
xref pandas-dev/pandas-stubs#640
Expected Behavior
Add a deprecation warning
Installed Versions
INSTALLED VERSIONS
------------------
commit : 478d340
python : 3.11.2.final.0
python-bits : 64
OS : Linux
OS-release : 6.2.9-200.fc37.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Thu Mar 30 22:31:57 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.0
numpy : 1.24.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 22.3.1
Cython : 0.29.34
pytest : 7.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.0.7
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.4.0
gcsfs : None
matplotlib : None
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : 3.8.0
tabulate : None
xarray : None
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None