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markopacak, milliseconds, millisecond, offset, userelativedelta, relativedelta, nanoseconds, issue, pandas, bug, dateoffset, commented, timedelta, kwdsnonanos, nanosecond, return, keyword, days, contributor, timedeltadays, handled, nanos, plural, notimplementederror, plur, kwds, day, sign, argument, wence, line, replace, component, datetime, object, supported, microsecondtimestampmicrosecond, arguments, datetimetimedelta, handle, singular, kwdsuserelativedelta, false, true, mroeschke, projects, pddateoffset, handles, dont, added,

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pandas/pandas/_libs/tslibs/offsets pandas/_libs/tslibs/offsets personal information bug type projects replace `millisecond` component relativedelta internal configuration timedelta handle milliseconds daily plural offsets latest version import pandas bug exists open projects milestone triage issue separate issue valid argument keyword args plural offsets handle nanoseconds keyword arguments code behaviour pandas bug takes milliseconds github daily length daily offset main branch recent call expected behavior make head intended logic moving parts valid arg tz-aware reworked implementation initial approach 2 tests failing tests suites def determine_offset false minor special-casing milestone relationships return offset determine offset issue dateoffset advertises provided dateoffset pass millisecond support millisecond

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: `pd.DateOffset` only handles `milliseconds` keyword argument if other keyword args are shorter than `day/days`
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd pd.DataOffset(milliseconds=1, days=1) ``` ### Issue Description ``` TypeError Traceback (most recent call last) Input In [54], in <cell line: 1>() ----> 1 pd.DateOffset(milliseconds=1, days=1) File ...pandas/_libs/tslibs/offsets.pyx:1233, in pandas._libs.tslibs.offsets.RelativeDeltaOffset.__init__() File ...pandas/_libs/tslibs/offsets.pyx:325, in pandas._libs.tslibs.offsets._determine_offset() TypeError: relativedelta.__init__() got an unexpected keyword argument 'milliseconds' ``` In contrast, if I pass `millisecond` (no plural) I get a more useful error: ``` NotImplementedError: Using DateOffset to replace `millisecond` component in datetime object is not supported. Use `microsecond=timestamp.microsecond % 1000 + ms * 1000` instead. ``` ### Expected Behavior Since `DateOffset` advertises that it takes `milliseconds` and `millisecond` as keyword arguments, it should be possible to construct a `DateOffset` using those arguments in combination with others. [I would have a go at fixing this, but I cannot make head or tail of the intended logic in `_libs.tslibs.offset._determine_offset`. Comments don't appear to match the code behaviour, and I don't know how many moving parts there are here]. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : e41b6d7827720df90a51ff05caa689333d7e02af python : 3.10.6.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 : 2.0.0.dev0+643.ge41b6d7827.dirty numpy : 1.23.4 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : 0.29.32 pytest : 7.2.0 hypothesis : 6.56.4 sphinx : 4.5.0 blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : 4.9.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.6.0 pandas_datareader: 0.10.0 bs4 : 4.11.1 bottleneck : 1.3.5 brotli : fastparquet : 0.8.3 fsspec : 2021.11.0 gcsfs : 2021.11.0 matplotlib : 3.6.2 numba : 0.56.3 numexpr : 2.8.3 odfpy : None openpyxl : 3.0.10 pandas_gbq : 0.17.9 pyarrow : 9.0.0 pyreadstat : 1.2.0 pyxlsb : 1.0.10 s3fs : 2021.11.0 scipy : 1.9.3 snappy : sqlalchemy : 1.4.43 tables : 3.7.0 tabulate : 0.9.0 xarray : 2022.11.0 xlrd : 2.0.1 zstandard : 0.19.0 tzdata : None qtpy : None pyqt5 : None </details>
      author:
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      datePublished:2022-11-24T18:22:39.000Z
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      url:https://github.com/49897/pandas/issues/49897
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      headline:BUG: `pd.DateOffset` only handles `milliseconds` keyword argument if other keyword args are shorter than `day/days`
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd pd.DataOffset(milliseconds=1, days=1) ``` ### Issue Description ``` TypeError Traceback (most recent call last) Input In [54], in <cell line: 1>() ----> 1 pd.DateOffset(milliseconds=1, days=1) File ...pandas/_libs/tslibs/offsets.pyx:1233, in pandas._libs.tslibs.offsets.RelativeDeltaOffset.__init__() File ...pandas/_libs/tslibs/offsets.pyx:325, in pandas._libs.tslibs.offsets._determine_offset() TypeError: relativedelta.__init__() got an unexpected keyword argument 'milliseconds' ``` In contrast, if I pass `millisecond` (no plural) I get a more useful error: ``` NotImplementedError: Using DateOffset to replace `millisecond` component in datetime object is not supported. Use `microsecond=timestamp.microsecond % 1000 + ms * 1000` instead. ``` ### Expected Behavior Since `DateOffset` advertises that it takes `milliseconds` and `millisecond` as keyword arguments, it should be possible to construct a `DateOffset` using those arguments in combination with others. [I would have a go at fixing this, but I cannot make head or tail of the intended logic in `_libs.tslibs.offset._determine_offset`. Comments don't appear to match the code behaviour, and I don't know how many moving parts there are here]. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : e41b6d7827720df90a51ff05caa689333d7e02af python : 3.10.6.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 : 2.0.0.dev0+643.ge41b6d7827.dirty numpy : 1.23.4 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : 0.29.32 pytest : 7.2.0 hypothesis : 6.56.4 sphinx : 4.5.0 blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : 4.9.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.6.0 pandas_datareader: 0.10.0 bs4 : 4.11.1 bottleneck : 1.3.5 brotli : fastparquet : 0.8.3 fsspec : 2021.11.0 gcsfs : 2021.11.0 matplotlib : 3.6.2 numba : 0.56.3 numexpr : 2.8.3 odfpy : None openpyxl : 3.0.10 pandas_gbq : 0.17.9 pyarrow : 9.0.0 pyreadstat : 1.2.0 pyxlsb : 1.0.10 s3fs : 2021.11.0 scipy : 1.9.3 snappy : sqlalchemy : 1.4.43 tables : 3.7.0 tabulate : 0.9.0 xarray : 2022.11.0 xlrd : 2.0.1 zstandard : 0.19.0 tzdata : None qtpy : None pyqt5 : None </details>
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