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BugNeeds TriageIssue that has not been reviewed by a pandas team memberIssue that has not been reviewed by a pandas team member
Description
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Reproducible Example
import pandas as pd
from re import sub
teststr = "var.one[0]"
print(sub(r'\[(\d+)\]',r'(\1)',teststr))
s = pd.Series(["var.one[0]", "var.two[1]", "var.three[2]"]).convert_dtypes(dtype_backend="pyarrow")
t = s.str.replace(r'\[(\d+)\]',r'(\1)',regex=True)
print(t)
Issue Description
The most recent pandas version produces the following error message:
var.one(0)
Traceback (most recent call last):
File "/workspaces/verbose-system/testfile.py", line 9, in <module>
t = s.str.replace(r'\[(\d+)\]',r'(\1)',regex=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/verbose-system/.new/lib/python3.12/site-packages/pandas/core/strings/accessor.py", line 140, in wrapper
return func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/verbose-system/.new/lib/python3.12/site-packages/pandas/core/strings/accessor.py", line 1580, in replace
result = self._data.array._str_replace(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/verbose-system/.new/lib/python3.12/site-packages/pandas/core/arrays/_arrow_string_mixins.py", line 182, in _str_replace
raise NotImplementedError(
NotImplementedError: replace is not supported with a re.Pattern, callable repl, case=False, flags!=0, or when the replacement string contains named group references (\g<...>, \d+)
I have trialed all possible combinations of \1
, \g<1>
, named groups, precompiled patterns, etc. However, this issue persists. I believe that this is related to: #57636
Expected Behavior
With pandas 2.3.0 the output of the script above was:
var.one(0)
0 var.one(0)
1 var.two(1)
2 var.three(2)
dtype: string[pyarrow]
Installed Versions
INSTALLED VERSIONS
------------------
commit : 9c8bc3e55188c8aff37207a74f1dd144980b8874
python : 3.12.11
python-bits : 64
OS : Linux
OS-release : 6.8.0-1030-azure
Version : #35~22.04.1-Ubuntu SMP Mon May 26 18:08:30 UTC 2025
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8
pandas : 2.3.3
numpy : 2.3.3
pytz : 2025.2
dateutil : 2.9.0.post0
pip : 25.0.1
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 21.0.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None
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BugNeeds TriageIssue that has not been reviewed by a pandas team memberIssue that has not been reviewed by a pandas team member