pandas (original) (raw)

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

s = pd.Series(["abc", "def"], dtype=pd.ArrowDtype(pa.string())) s.str.startswith(("a", "d")) Traceback (most recent call last): File "", line 1, in File "D:\pandasdev\pandas\core\strings\accessor.py", line 137, in wrapper return func(self, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\pandasdev\pandas\core\strings\accessor.py", line 2484, in startswith result = self._data.array._str_startswith(pat, na=na) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\pandasdev\pandas\core\arrays\arrow\array.py", line 2178, in _str_startswith result = pc.starts_with(self._pa_array, pattern=pat) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\pd_dev_1208\Lib\site-packages\pyarrow\compute.py", line 259, in wrapper options = _handle_options(func_name, options_class, options, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\pd_dev_1208\Lib\site-packages\pyarrow\compute.py", line 222, in _handle_options return options_class(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "pyarrow_compute.pyx", line 1107, in pyarrow._compute.MatchSubstringOptions.init File "pyarrow_compute.pyx", line 1090, in pyarrow._compute._MatchSubstringOptions._set_options File "stringsource", line 15, in string.from_py.__pyx_convert_string_from_py_std__in_string TypeError: expected bytes, tuple found

Issue Description

An error is raised, when the call should succeed.

Expected Behavior

>>> s = pd.Series(["abc", "def"], dtype=pd.StringDtype())
>>> s.str.startswith(("a", "d"))
0    True
1    True
dtype: boolean
>>>

Installed Versions

INSTALLED VERSIONS

commit : f0b61c5
python : 3.11.4.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22631
machine : AMD64
processor : Intel64 Family 6 Model 151 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.1.0.dev0+2318.gf0b61c5618
numpy : 1.26.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.3.1
Cython : 3.0.5
pytest : 7.4.3
hypothesis : 6.91.1
sphinx : 6.2.1
blosc : 1.11.1
feather : None
xlsxwriter : 3.1.9
lxml.etree : 4.9.3
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : 2.9.9
jinja2 : 3.1.2
IPython : 8.18.1
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.2
bottleneck : 1.3.7
dataframe-api-compat : None
fastparquet : 2023.10.1
fsspec : 2023.12.1
gcsfs : 2023.12.1
matplotlib : 3.8.2
numba : 0.58.1
numexpr : 2.8.7
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 14.0.1
pyreadstat : 1.2.5
python-calamine : None
pyxlsb : 1.0.10
s3fs : 2023.12.1
scipy : 1.11.4
sqlalchemy : 2.0.23
tables : 3.9.2
tabulate : 0.9.0
xarray : 2023.11.0
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : 2023.3
qtpy : None
pyqt5 : None