pandas.api.types.is_timedelta64_ns_dtype — pandas 2.2.3 documentation (original) (raw)

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.timedelta64will 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