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
t = pd.Timestamp('2022-01-01')
s = pd.Series([t])
# Output is `2022-01-01 00:30:00`
s + pd.DateOffset(minutes=30)
# Output is `2022-01-01`, nanoseconds offset was ignored
s + pd.DateOffset(nanoseconds=1800000000000)
# Output is `2022-01-01 00:30:00`
s[0] + pd.DateOffset(nanoseconds=1800000000000)Issue Description
When a pandas date Series adding a DateOffset with component nanoseconds the offset was ignored.
Expected Behavior
The offset component nanoseconds should be added to each value of the Series. So the result should be 2022-01-01 00:30:00.
Installed Versions
pd.show_versions()
C:\Users\usr\conda-envs\my-env\lib\site-packages_distutils_hack_init_.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
commit : e8093ba
python : 3.9.13.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19043
machine : AMD64
processor : Intel64 Family 6 Model 58 Stepping 0, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Australia.1252
pandas : 1.4.3
numpy : 1.22.4
pytz : 2022.1
dateutil : 2.8.2
setuptools : 62.6.0
pip : 22.1.2
Cython : 0.29.30
pytest : 7.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.0
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli :
fastparquet : None
fsspec : 2022.5.0
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.5.2
numba : 0.55.2
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 7.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.8.1
snappy : None
sqlalchemy : 1.4.39
tables : None
tabulate : None
xarray : 2022.3.0
xlrd : None
xlwt : None
zstandard : None