pandas.api.types.is_timedelta64_dtype#

pandas.api.types.is_timedelta64_dtype(arr_or_dtype)[source]#

Check whether an array-like or dtype is of the timedelta64 dtype.

Parameters:

arr_or_dtypearray-like or dtype: The array-like or dtype to check.

Returns:

boolean: Whether or not the array-like or dtype is of the timedelta64 dtype.

See also

api.types.is_timedelta64_ns_dtype: Check whether the provided array or dtype is of the timedelta64[ns] dtype.
api.types.is_period_dtype: Check whether an array-like or dtype is of the Period 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