class_docstr: Immutable Index of timedelta64 data.
  
  Represented internally as int64, and scalars returned Timedelta objects.
  
  Parameters
  ----------
  data  : array-like (1-dimensional), optional
      Optional timedelta-like data to construct index with.
  unit : unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional
      Which is an integer/float number.
  freq : str or pandas offset object, optional
      One of pandas date offset strings or corresponding objects. The string
      'infer' can be passed in order to set the frequency of the index as the
      inferred frequency upon creation.
  copy  : bool
      Make a copy of input ndarray.
  name : object
      Name to be stored in the index.
  
  Attributes
  ----------
  days
  seconds
  microseconds
  nanoseconds
  components
  inferred_freq
  
  Methods
  -------
  to_pytimedelta
  to_series
  round
  floor
  ceil
  to_frame
  mean
  
  See Also
  --------
  Index : The base pandas Index type.
  Timedelta : Represents a duration between two dates or times.
  DatetimeIndex : Index of datetime64 data.
  PeriodIndex : Index of Period data.
  timedelta_range : Create a fixed-frequency TimedeltaIndex.
  
  Notes
  -----
  To learn more about the frequency strings, please see `this link
  <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
docstr: Can we compare values of the given dtype to our own?
docstr_tok: ["Can","we","compare","values","of","the","given","dtype","to","our","own","?"]
code: def _is_comparable_dtype(self, dtype: DtypeObj) -> bool:
      """
      Can we compare values of the given dtype to our own?
      """
      return is_timedelta64_dtype(dtype)
  
imports: from __future__ import annotations
  from pandas._libs import index, lib
  from pandas._libs.tslibs import Resolution, Timedelta, to_offset
  from pandas._typing import DtypeObj
  from pandas.core.dtypes.common import is_dtype_equal, is_scalar, is_timedelta64_dtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.arrays import datetimelike
  from pandas.core.arrays.timedeltas import TimedeltaArray
  import pandas.core.common
  from pandas.core.indexes.base import Index, maybe_extract_name
  from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin
  from pandas.core.indexes.extension import inherit_names
label_desc: Use image node_id 4 for calling the TimedeltaIndex obj's underlying member method code with example usage: obj._is_comparable_dtype(dtype) and returns: is_timedelta64_dtype