BUG: Series.str.get with arrow String Dtype allows index to be floating point value #53024
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
>>> a = pd.Series(["ab"], dtype=pd.ArrowDtype(pa.string()))
>>> a.str.get(1.2)
0 b
dtype: string[pyarrow]
>>>Issue Description
According to the documentation, the index is required to be an int, so this should fail. When using the pandas StringDtype() an error is raised.
Expected Behavior
>>> a2 = pd.Series(["ab"], dtype=pd.StringDtype())
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\pd_201_0425\lib\site-packages\pandas\core\strings\accessor.py", line 1059, in get
result = self._data.array._str_get(i)
File "C:\pd_201_0425\lib\site-packages\pandas\core\strings\object_array.py", line 269, in _str_get
return self._str_map(f)
File "C:\pd_201_0425\lib\site-packages\pandas\core\arrays\string_.py", line 599, in _str_map
result = lib.map_infer_mask(
File "pandas\_libs\lib.pyx", line 2786, in pandas._libs.lib.map_infer_mask
File "C:\pd_201_0425\lib\site-packages\pandas\core\strings\object_array.py", line 266, in f
return x[i]
TypeError: string indices must be integers
>>>
I expect an error to be raised, as the method is documented to require an integral index.
Installed Versions
INSTALLED VERSIONS
commit : 37ea63d
python : 3.8.10.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 2.0.1
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 23.0.1
Cython : None
pytest : 7.0.1
hypothesis : None
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.12.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None