Closed
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
python
# (interactive shell)
import pandas
s = pandas.Series(['150', pandas.NA])
print(pandas.to_numeric(s))
# 0 150.0
# 1 NaN
# dtype: float64
print(pandas.to_numeric(s, dtype_backend='numpy_nullable'))
# 0 150
# 1 <NA>
# dtype: Int64
### Issue Description
Documentation says that `numpy_nullable` is the default value for the `dtype_backend` argument,
yet the funcion works differently whether you pass it explicitly or not.
### Expected Behavior
``` python
# (interactive shell)
import pandas
s = pandas.Series(['150', pandas.NA])
print(pandas.to_numeric(s))
# 0 150
# 1 <NA>
# dtype: Int64
Installed Versions
/home/denisfranco/.local/lib/python3.10/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
------------------
commit : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140
python : 3.10.12.final.0
python-bits : 64
OS : Linux
OS-release : 6.5.0-35-generic
Version : #35~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue May 7 09:00:52 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : pt_BR.UTF-8
pandas : 2.2.2
numpy : 1.22.4
pytz : 2022.1
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.0.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.8.0
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
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 : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None