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 of pandas.

  • [ ] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

(
pd.DataFrame(
[[1, 2], [3, 4]]
).astype('datetime64[ns]'
) 
- pd.Series([5, 6, 7]).astype('datetime64[ns]')
)

Issue Description

I'm getting TypeError: cannot subtract DatetimeArray from ndarray.

Doing the subtraction in the opposite direction (series - dataframe) gives UFuncTypeError: ufunc 'subtract' cannot use operands with types dtype('<M8[ns]') and dtype('float64').

I found a related issue https://github.com/pandas-dev/pandas/issues/31623.

Expected Behavior

This subtraction should work the way it would for integers:

(
pd.DataFrame(
  [[1, 2], [3, 4]]
) 
- pd.Series([5, 6, 7])
)

so for datetimes we should align the series on axis 1 and broadcast it to each row to get an output of 

pd.DataFrame([
[pd.Timedelta(-4), pd.Timedelta(-4), pd.NaT],
[pd.Timedelta(-2), pd.Timedelta(-2), pd.NaT],
]
)

Installed Versions


INSTALLED VERSIONS
------------------
commit                : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140
python                : 3.9.18.final.0
python-bits           : 64
OS                    : Darwin
OS-release            : 23.5.0
Version               : Darwin Kernel Version 23.5.0: Wed May  1 20:14:38 PDT 2024; root:xnu-10063.121.3~5/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

Comment From: rhshadrach

Confirmed on main - further investigations and PRs to fix are welcome!

Comment From: sfc-gh-mvashishtha

I also found that timestamp + timedelta and timestamp - timedelta raise a similar error, ufunc 'add' cannot use operands with types dtype('<m8[ns]') and dtype('float64')

import pandas as pd

pd.DataFrame([pd.Timestamp(1)]) + pd.Series([pd.Timedelta(2), pd.Timedelta(3)])
pd.DataFrame([pd.Timestamp(1)]) - pd.Series([pd.Timedelta(2), pd.Timedelta(3)])

Comment From: sukriti1

take

Comment From: jbrockmendel

When you subtract a non-aligned Series, both are reindexed to have matching lengths. This reindex introduces a float64 column of NaNs in your DataFrame. You can't subtract dt64s from float64s, so this raises.

So the request here is for the reindex to figure out that the user wants a dt64 dtype, which is non-crazy but also non-obvious.