BUG: some cases of binary arithmetic between string and timedelta raise TypeError #59653
Description
Pandas version checks
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Reproducible Example
import pandas as pd pd.Series(pd.Timedelta(1)) + pd.Series(['1'])Issue Description
The example above should produce pd.Series(pd.Timedelta(2)), but it raises a TypeError instead.
There are some other cases that don't work either:
pd.Series(['1']) + pd.Series(pd.Timedelta(1))pd.Timedelta(1) + pd.Series(['1'])pd.Series(pd.Timedelta(1)) + '1''1' + pd.Series(pd.Timedelta(1))pd.Timedelta(1) + pd.Series('1')
But some cases that do:
pd.DataFrame(['1']) + pd.DataFrame([pd.Timedelta(1)])pd.DataFrame([pd.Timedelta(1)]) + pd.DataFrame(['1'])pd.Series(['1']) + pd.Timedelta(1)pd.Series('1') + pd.Timedelta(1)
Expected Behavior
Given that the Timedelta itself seems to support arithmetic with scalar strings, it seems that dataframes and series of timedelta should support arithmetic with strings or data structures containing strings.
Installed Versions
INSTALLED VERSIONS ------------------ commit : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140 python : 3.9.18.final.0 python-bits : 64 OS : Darwin OS-release : 23.6.0 Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:13:04 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6020 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 2.2.2 numpy : 1.26.3 pytz : 2023.3.post1 dateutil : 2.8.2 setuptools : 68.2.2 pip : 23.3.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 8.18.1 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 : None 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 : 2023.4 qtpy : None pyqt5 : None