Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
In [2]: pd.Series([3600], dtype="timedelta64[s]")
Out[2]:
0 0 days
dtype: timedelta64[s]
In [3]: pd.Series([3600], dtype="timedelta64[s]")._values._ndarray
Out[3]: array([0], dtype='timedelta64[s]')
In [4]: pd.Series([3600], dtype="timedelta64[ns]")._values._ndarray
Out[4]: array([3600], dtype='timedelta64[ns]')
Issue Description
I would expect Out[3] to return array([3600], dtype='timedelta64[s]')
Expected Behavior
array([3600], dtype='timedelta64[s]')
Installed Versions
Replace this line with the output of pd.show_versions()
Comment From: reddyrg1
take