BUG: pd.Series.isnumeric() doesn't work on decimal value strings #60750
Description
Pandas version checks
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
df = pd.DataFrame({"string_values": ["1", "1.0", "1.1"]})
df.string_values.str.isnumeric()Issue Description
The series method .isnumeric() only works on integer strings. If a string number is decimal, it will return False. When running the example below, the following is returned:
This is the docs description for the method:
Expected Behavior
Running the method on decimal strings should return True.
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.12.8
python-bits : 64
OS : Linux
OS-release : 5.15.49-linuxkit-pr
Version : #1 SMP PREEMPT Thu May 25 07:27:39 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8
pandas : 2.2.3
numpy : 2.2.1
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : None
sphinx : None
IPython : 8.31.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.5
lxml.etree : 5.3.0
matplotlib : 3.10.0
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : 2.9.10
pymysql : None
pyarrow : 18.1.0
pyreadstat : None
pytest : 8.3.4
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.15.1
sqlalchemy : 2.0.37
tables : None
tabulate : 0.9.0
xarray : None
xlrd : 2.0.1
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None