BUG: .to_json() of periode_range gives OverflowError: Maximum recursion level reached #55490
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
import pandas as pd pd.Series(pd.period_range(start=2021,freq = 'Y',periods=3)).to_json() ### Issue Description causes a: OverflowError: Maximum recursion level reached the same goes if a periode_range is a column in a dataframe ### Expected Behavior should return: '{"0":{"day":31,"day_of_week":4,"day_of_year":365,"dayofweek":4,"dayofyear":365,"days_in_month":31,"daysinmonth":31,"end_time":1640995199999,"freqstr":"A-DEC","hour":0,"is_leap_year":false,"minute":0,"month":12,"ordinal":51,"quarter":4,"qyear":2021,"second":0,"start_time":1609459200000,"week":52,"weekday":4,"weekofyear":52,"year":2021},"1":{"day":31,"day_of_week":5,"day_of_year":365,"dayofweek":5,"dayofyear":365,"days_in_month":31,"daysinmonth":31,"end_time":1672531199999,"freqstr":"A-DEC","hour":0,"is_leap_year":false,"minute":0,"month":12,"ordinal":52,"quarter":4,"qyear":2022,"second":0,"start_time":1640995200000,"week":52,"weekday":5,"weekofyear":52,"year":2022},"2":{"day":31,"day_of_week":6,"day_of_year":365,"dayofweek":6,"dayofyear":365,"days_in_month":31,"daysinmonth":31,"end_time":1704067199999,"freqstr":"A-DEC","hour":0,"is_leap_year":false,"minute":0,"month":12,"ordinal":53,"quarter":4,"qyear":2023,"second":0,"start_time":1672531200000,"week":52,"weekday":6,"weekofyear":52,"year":2023}}' ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : e86ed377639948c64c429059127bcf5b359ab6be python : 3.10.12.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22621 machine : AMD64 processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : Danish_Denmark.1252 pandas : 2.1.1 numpy : 1.26.0 pytz : 2023.3.post1 dateutil : 2.8.2 setuptools : 68.2.2 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 : 3.1.2 IPython : 8.16.1 pandas_datareader : None bs4 : 4.12.2 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 </details>