pandas-dev/pandas (original) (raw)

Pandas version checks

Reproducible Example

from pandas import Timestamp from pandas.tseries.holiday import USFederalHolidayCalendar

ts0 = Timestamp('2018-01-01', tz = 'America/Chicago') ts1 = Timestamp('2018-01-11', tz = 'America/Chicago') USFederalHolidayCalendar().holidays(ts0, ts1)

Issue Description

USFederalHolidayCalendar().holidays(start_date, end_date) raises an error if the time range queried is from 2018 or before. Namely, the TypeError: Invalid comparison between dtype=datetime64[ns] and Timestamp error is raised, caused by the call rule.dates(start, end, return_name=True) in tseries\holiday.py for the Juneteenth holiday.

This behaviour was seen in both Pandas 2.0.1 and 2.0.3.

Expected Behavior

A list of all the holidays in the time range should be outputted, with Juneteenth missing since it wasn't observed yet.

Installed Versions

commit : 37ea63d
python : 3.10.11.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Israel.1252
pandas : 2.0.1
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 57.5.0
pip : 22.3.1
Cython : 0.29.36
pytest : 7.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : None
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.6.0
gcsfs : 2023.6.0
matplotlib : 3.7.2
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.2
pandas_gbq : 0.19.2
pyarrow : 12.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : 3.8.0
tabulate : None
xarray : 2023.6.0
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None