code: def describe_timestamp_1d(
      data: Series, percentiles: Sequence[float]
  ) -> Series:
      """Describe series containing datetime64 dtype.
  
      Parameters
      ----------
      data : Series
          Series to be described.
      percentiles : list-like of numbers
          The percentiles to include in the output.
      """
      # GH-30164
      from pandas import Series
  
      formatted_percentiles = format_percentiles(percentiles)
  
      stat_index = (
          ["count", "mean", "min"] + formatted_percentiles + ["max"]
      )
      d = (
          [data.count(), data.mean(), data.min()]
          + data.quantile(percentiles).tolist()
          + [data.max()]
      )
      return Series(d, index=stat_index, name=data.name)
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, Any, Callable, Hashable, Sequence, cast
  import numpy
  from pandas._libs.tslibs import Timestamp
  from pandas._typing import DtypeObj, NDFrameT, npt
  from pandas.util._validators import validate_percentile
  from pandas.core.dtypes.common import is_bool_dtype, is_complex_dtype, is_extension_array_dtype, is_numeric_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype
  from pandas.core.arrays.arrow.dtype import ArrowDtype
  from pandas.core.arrays.floating import Float64Dtype
  from pandas.core.reshape.concat import concat
  from pandas.io.formats.format import format_percentiles
label_desc: Use image node_id 6 for calling a global function with example usage: describe_timestamp_1d(data, percentiles) and returns: Series