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Showing content from https://github.com/pandas-dev/pandas/issues/54942 below:

str.startswith and str.endswith with tuple argument fail for "string[pyarrow]" · Issue #54942 · pandas-dev/pandas · GitHub

Pandas version checks

I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd
from IPython.display import display

values = ["a", None, "b"]
tuple_arg = ("a", "b")
o = pd.Series(values, dtype=object)
s = pd.Series(values, dtype="string")
a = pd.Series(values, dtype="string[pyarrow]")

display(
    o.str.startswith(tuple_arg),
    s.str.startswith(tuple_arg),
)
try:
    display(
        a.str.startswith(tuple_arg)
    )
except TypeError as e:
    display(e)  # TypeError('expected bytes, tuple found')

Issue Description

str.startswith and str.endswith methods support arguments of type tuple[str, ...]. For dtype "string[pyarrow]" this raises a type error. I've already written a fix and provide a pull request soon.

Expected Behavior

Don't throw an error and exhibit same behaviour as the object type string array and the pandas string extension array.

Installed Versions pd.show_versions()

 INSTALLED VERSIONS ------------------ commit : ba1cccd19da778f0c3a7d6a885685da16a072870 python : 3.11.4.final.0 python-bits : 64 OS : Linux OS-release : 5.15.90.1-microsoft-standard-WSL2 Version : #1 SMP Fri Jan 27 02:56:13 UTC 2023 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 2.1.0 numpy : 1.25.2 pytz : 2023.3 dateutil : 2.8.2 setuptools : 68.0.0 pip : 23.2.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 3.1.2 lxml.etree : 4.9.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.14.0 pandas_datareader : None bs4 : 4.12.2 bottleneck : None dataframe-api-compat: None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : 3.1.2 pandas_gbq : None pyarrow : 12.0.1 pyreadstat : None pyxlsb : 1.0.10 s3fs : None scipy : 1.11.1 sqlalchemy : 2.0.20 tables : None tabulate : None xarray : None xlrd : 2.0.1 zstandard : None tzdata : 2023.3 qtpy : None pyqt5 : None

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