BUG: inconsistent behavior of DateOffset · Issue #47953 · pandas-dev/pandas (original) (raw)

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Description

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 pandas as pd

df = pd.DataFrame({ 'S':[pd.Timestamp('2019-04-30')], 'A':[pd.DateOffset(months=1)] })

FIRST TEST

df['S'] + 26 * df['A'] 0 2021-06-30 dtype: datetime64[ns]

SECOND TEST

df['S'].iloc[0] + 26 * df['A'].iloc[0] Timestamp('2021-06-28 00:00:00')

Issue Description

It seems like multiplying a DateOffset by constant leads to an inconsistent behavior: the first test gives 30/6 while the second 28/6

Expected Behavior

In any case it should be 2021-06-30

Installed Versions

INSTALLED VERSIONS

commit : 66e3805
python : 3.10.1.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19042
machine : AMD64
processor : Intel64 Family 6 Model 126 Stepping 5, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : Italian_Italy.1252

pandas : 1.3.5
numpy : 1.21.5
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 58.1.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.8.0
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 8.1.1
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.5.1
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None