Closed
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
>>> 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: objectIssue 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
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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