BUG: build_table_schema (AttributeError: 'datetime.timezone' object has no attribute 'zone') #60169
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
import numpy as np
from datetime import datetime
from pandas.io.json._table_schema import build_table_schema
df = pd.DataFrame({
'date': pd.date_range(start=datetime.now().astimezone(), periods=5, freq='D')
})
build_table_schema(df)Issue Description
this is fixed in the main branch per this commit 3 months ago, but the release version 2.2.3 is still broken. is there a workaround or can this fix be released
Expected Behavior
return the schema without errors
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.11.10
python-bits : 64
OS : Linux
OS-release : 5.15.0-1057-aws
Version : #63~20.04.1-Ubuntu SMP Mon Mar 25 10:28:36 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 2.0.2
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.10.0
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.9.2
numba : 0.60.0
numexpr : 2.10.1
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 18.0.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : 1.0.10
s3fs : 2024.10.0
scipy : 1.14.1
sqlalchemy : None
tables : 3.10.1
tabulate : None
xarray : None
xlrd : 2.0.1
xlsxwriter : 3.2.0
zstandard : 0.23.0
tzdata : 2024.2
qtpy : None
pyqt5 : None
None