class_docstr: Accessor object for datetimelike properties of the Series values.
  
  Returns a Series indexed like the original Series.
  Raises TypeError if the Series does not contain datetimelike values.
  
  Examples
  --------
  >>> seconds_series = pd.Series(
  ...     pd.timedelta_range(start="1 second", periods=3, freq="s")
  ... )
  >>> seconds_series
  0   0 days 00:00:01
  1   0 days 00:00:02
  2   0 days 00:00:03
  dtype: timedelta64[ns]
  >>> seconds_series.dt.seconds
  0    1
  1    2
  2    3
  dtype: int32
code: def freq(self):
      return self._get_values().inferred_freq
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, cast
  import warnings
  import numpy
  from pandas._libs import lib
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_integer_dtype, is_list_like
  from pandas.core.dtypes.dtypes import ArrowDtype, CategoricalDtype, DatetimeTZDtype, PeriodDtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.accessor import PandasDelegate, delegate_names
  from pandas.core.arrays import DatetimeArray, PeriodArray, TimedeltaArray
  from pandas.core.arrays.arrow.array import ArrowExtensionArray
  from pandas.core.base import NoNewAttributesMixin, PandasObject
  from pandas.core.indexes.datetimes import DatetimeIndex
  from pandas.core.indexes.timedeltas import TimedeltaIndex
label_desc: Use image node_id 3 for calling the TimedeltaProperties obj's underlying member method code with example usage: obj.freq() and returns: self