BUG: DataFrame(data=[None, 1], dtype='timedelta64[ns]') raises ValueError: Buffer has wrong number of dimensions

[sfc-gh-mvashishtha]

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

import pandas as pd
df = pd.DataFrame([None, 1], dtype='timedelta64[ns]')

Issue Description

The error message doesn't tell the user what to do differently. Also, it's possible that there shouldn't be an error at all.

Expected Behavior

I think this should be allowed, in which case the resulting series would look like

                          0
0                       NaT
1 0 days 00:00:00.000000001

If it's not allowed, the error message should be clearer.

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