BUG: Unexpected keyword argument maxsplit on rsplit even though it is accepted in vanilla Python · Issue #47423 · pandas-dev/pandas (original) (raw)

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Reproducible Example

import pandas as pd string = "foo,bar,lorep" string.rsplit(",", maxsplit=1) # This works as expected ['foo,bar', 'lorep'] pd.DataFrame({"a": [string]})["a"].str.rsplit(",", maxsplit=1) # Use kwarg maxsplit TypeError: rsplit() got an unexpected keyword argument 'maxsplit' pd.DataFrame({"a": [string]})["a"].str.rsplit(",", 1) # Change kwarg to arg 0 [foo,bar, lorep] Name: a, dtype: object

Issue Description

When using pd.Series.str.rsplit in Pandas, the accepted kwargs are inconsistent with Python's.

Python's str.rsplit accepts the kwarg maxsplit=, while Panda's pd.Series.str.rsplit does not.

Expected Behavior

I expect Panda's pd.Series.str.rsplit to behave identically to Python's str.rsplit, this includes accepting the same kwargs, namely maxsplit= in this case.

Installed Versions

pd.show_versions()

/Users/pawlu/.virtualenvs/pandas-debug-kqdr/lib/python3.9/site-packages/_distutils_hack/init.py:30: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS

commit : 47494a48edf25d5a49b0fb5b896b454c15c83595 python : 3.9.12.final.0 python-bits : 64 OS : Darwin OS-release : 21.4.0 Version : Darwin Kernel Version 21.4.0: Fri Mar 18 00:45:05 PDT 2022; root:xnu-8020.101.4~15/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.5.0.dev0+978.g47494a48e numpy : 1.22.4 pytz : 2022.1 dateutil : 2.8.2 setuptools : 62.2.0 pip : 22.1.2 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 : 8.4.0 pandas_datareader: None bs4 : None bottleneck : None brotli : None fastparquet : None fsspec : None gcsfs : 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