Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
assert pd.DatetimeIndex(['2020-01-01'], dtype='datetime64[s]').equals(
pd.DatetimeIndex(['2020-01-01'], dtype='datetime64[ns]')
)Issue Description
This assertion should pass, but it fails.
Expected Behavior
The assertion should pass for the same reason that this one does:
assert pd.Index([0, 1], dtype=int).equals(pd.Index([0., 1.], dtype=float))
Or that this one does:
assert np.array_equal(
pd.DatetimeIndex(['2020-01-01'], dtype='datetime64[s]').values,
pd.DatetimeIndex(['2020-01-01'], dtype='datetime64[ns]').values
)
Installed Versions
pandas : 2.1.1
numpy : 1.23.5
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.7.2
pip : 23.1.2
Cython : 3.0.0
pytest : 7.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.13.2
pandas_datareader : None
bs4 : 4.12.2
bottleneck : 1.3.7
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.6.0
gcsfs : None
matplotlib : 3.7.1
numba : 0.56.4
numexpr : 2.8.7
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : 2023.6.0
scipy : 1.10.1
sqlalchemy : None
tables : None
tabulate : None
xarray : 2023.4.2
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : 2.3.1
pyqt5 : None