pandas.api.types.is_timedelta64_ns_dtype#

pandas.api.types.is_timedelta64_ns_dtype(arr_or_dtype)[source]#

Check whether the provided array or dtype is of the timedelta64[ns] dtype.

This is a very specific dtype, so generic ones like np.timedelta64 will return False if passed into this function.

Parameters:
arr_or_dtypearray-like or dtype

The array or dtype to check.

Returns:
boolean

Whether or not the array or dtype is of the timedelta64[ns] dtype.

Examples

>>> from pandas.core.dtypes.common import is_timedelta64_ns_dtype
>>> is_timedelta64_ns_dtype(np.dtype('m8[ns]'))
True
>>> is_timedelta64_ns_dtype(np.dtype('m8[ps]'))  # Wrong frequency
False
>>> is_timedelta64_ns_dtype(np.array([1, 2], dtype='m8[ns]'))
True
>>> is_timedelta64_ns_dtype(np.array([1, 2], dtype=np.timedelta64))
False