Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] 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
i = pd.date_range('2018-04-09', periods=4, freq='2D')
ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
# bug-- shows just 1 row
print(ts.first(pd.DateOffset(days=3)))
# shows 2 rows as in the docs: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.first.html
print(ts.first('3D'))
Issue Description
first() and last() take DateOffset, but passing a DateOffset always gives at most one row.
Expected Behavior
DateOffset(days=3) should work the same as '3D'.
Installed Versions
INSTALLED VERSIONS
------------------
commit : ca60aab7340d9989d9428e11a51467658190bb6b
python : 3.10.4.final.0
python-bits : 64
OS : Darwin
OS-release : 21.5.0
Version : Darwin Kernel Version 21.5.0: Tue Apr 26 21:08:22 PDT 2022; root:xnu-8020.121.3~4/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.4
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 67.2.0
pip : 22.1.2
Cython : None
pytest : 7.2.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.1.0
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.6.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 8.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
Comment From: DeaMariaLeon
take
Comment From: DeaMariaLeon
Thak you for the report @mvashishtha. Unfortunately this function will be deprecated: https://github.com/pandas-dev/pandas/issues/45908#:~:text=As%20discussed%20in,lot%20more%20explicit