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BUG: pd.to_numeric(timedelta_scalar) raises TypeError #2
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@acr-bot |
Here is a potential patch for reference: diff --git a/pandas/core/tools/numeric.py b/pandas/core/tools/numeric.py
index 982851d..e02e694 100644
--- a/pandas/core/tools/numeric.py
+++ b/pandas/core/tools/numeric.py
@@ -189,6 +189,8 @@ def to_numeric(
return float(arg)
if is_number(arg):
return arg
+ if isinstance(arg, Timedelta): # Handle Timedelta
+ return arg.value
is_scalars = True
values = np.array([arg], dtype="O")
elif getattr(arg, "ndim", 1) > 1:
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@acr-bot open-pr |
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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
Issue Description
Getting a TypeError
Expected Behavior
For the example above, I should get the integer 1. That would match the behavior of pd.to_numeric(pd.Series(pd.Timedelta(1)))
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.9.18
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Wed Jul 31 20:48:52 PDT 2024; root:xnu-10063.141.1.700.5~1/RELEASE_ARM64_T6020
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 1.26.3
pytz : 2023.3.post1
dateutil : 2.8.2
pip : 23.3.1
Cython : None
sphinx : None
IPython : 8.18.1
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 : None
pyreadstat : None
pytest : 8.3.2
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2023.4
qtpy : None
pyqt5 : None
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