BUG: pandas.series.str.replace() fails on compiled regex pattern for pat #60026
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
import regex as re
df = pd.DataFrame({"col": ["foo_this", "bar_this"]})
pattern = re.compile(r"(foo|bar)_.*")
df.col = df.col.str.replace(pat=pattern, repl=r"\1_that", regex=True)Issue Description
pandas.series.str.replace() works fine, if pat is a pattern string, but for compiled patterns, a TypeError is risen.
Expected Behavior
col
foo_that
bar_that
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.11.9
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22631
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : de_DE.cp1252
pandas : 2.2.3
numpy : 1.26.4
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.2
Cython : 3.0.11
sphinx : 8.0.2
IPython : 8.27.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : 1.4.0
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.9.0
html5lib : 1.1
hypothesis : 6.112.1
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 5.3.0
matplotlib : 3.8.4
numba : 0.60.0
numexpr : 2.10.1
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 16.1.0
pyreadstat : None
pytest : 8.3.3
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : 2.0.35
tables : 3.10.1
tabulate : 0.9.0
xarray : 2024.9.0
xlrd : 2.0.1
xlsxwriter : 3.2.0
zstandard : 0.23.0
tzdata : 2024.1
qtpy : 2.4.1
pyqt5 : None