Check whether an array-like or dtype is of the timedelta64 dtype.
The array-like or dtype to check.
Whether or not the array-like or dtype is of the timedelta64 dtype.
Examples
>>> from pandas.core.dtypes.common import is_timedelta64_dtype
>>> is_timedelta64_dtype(object)
False
>>> is_timedelta64_dtype(np.timedelta64)
True
>>> is_timedelta64_dtype([1, 2, 3])
False
>>> is_timedelta64_dtype(pd.Series([], dtype="timedelta64[ns]"))
True
>>> is_timedelta64_dtype('0 days')
False
© 2008–2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
© 2011–2025, Open source contributors
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.api.types.is_timedelta64_dtype.html