# swegym / pandas-dev__pandas-48854 - taskset: [swegym](https://harnessreport.com/tasks/swegym.md) - difficulty: hard - category: debugging - language: - runnable from the site: no - agent timeout: 3000s ## Results by harness _none yet_ ## Instruction ``` BUG: `pd.to_timedelta()` does not accept nullable float ### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd pd.to_timedelta(pd.Series([1], dtype="Float64")) ``` ### Issue Description The `pd.to_timedelta()` function does not accept a series using the nullable float extension dtype (either "Float32" or "Float64"). An exception is raised with the following message: > IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices ### Expected Behavior In this example, I would expect the output to be the same as for the regular NumPy dtype: ```python pd.to_timedelta(pd.Series([1], dtype="float64")) ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.9.7.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19044 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United States.1252 pandas : 1.5.0 numpy : 1.21.5 pytz : 2022.1 dateutil : 2.8.2 setuptools : 63.4.1 pip : 22.1.2 Cython : 0.29.30 pytest : 7.1.2 hypothesis : None sphinx : 5.0.2 blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : 4.9.1 html5lib : None pymysql : None psycopg2 : None jinja2 : 2.11.3 IPython : 8.4.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : 1.3.5 brotli : fastparquet : None fsspec : 2022.7.1 gcsfs : None matplotlib : 3.5.2 numba : 0.55.1 numexpr : 2.8.3 odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.7.1 snappy : sqlalchemy : 1.4.39 tables : 3.6.1 tabulate : 0.8.10 xarray : 0.20.1 xlrd : 2.0.1 xlwt : None zstandard : None tzdata : None </details> ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp