BUG: date_range with freq="C" (business days) return value changed on 1.5.0 · Issue #49441 · pandas-dev/pandas (original) (raw)

Pandas version checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of pandas.
• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import datetime as dt import pandas as pd import pytz

paris = pytz.timezone("Europe/Paris") start = dt.datetime.fromisoformat("2022-07-22 22:00:00+00:00").astimezone(paris) print(pd.date_range(start, periods=1, freq="C"))

Issue Description

On Pandas 1.4.4, the above shows:

DatetimeIndex(['2022-07-25 00:00:00+02:00'], dtype='datetime64[ns, Europe/Paris]', freq='C')

On Pandas 1.5.1, it shows:

DatetimeIndex(['2022-07-23 00:00:00+02:00', '2022-07-25 00:00:00+02:00'], dtype='datetime64[ns, Europe/Paris]', freq='C')

There are no warnings from the previous code.

Expected Behavior

THe same results, unless I have missed something in the release notes (I tried reading all results matching date/time/business, couldn't see anything relevant).

Installed Versions

` INSTALLED VERSIONS

commit : ca60aab7340d9989d9428e11a51467658190bb6b python : 3.10.8.final.0 python-bits : 64 OS : Darwin OS-release : 21.6.0 Version : Darwin Kernel Version 21.6.0: Mon Aug 22 20:19:52 PDT 2022; root:xnu-8020.140.49~2/RELEASE_ARM64_T6000 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8 `

`pandas : 1.4.4

numpy : 1.23.4

pytz : 2022.6

dateutil : 2.8.2

setuptools : 65.5.0

pip : 22.3

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

markupsafe : 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

`