class_docstr: common ops mixin to support a unified interface datetimelike Index
class_docstr_tok: ["common","ops","mixin","to","support","a","unified","interface","datetimelike","Index"]
code: def astype(self, dtype, copy=True):
      if is_dtype_equal(self.dtype, dtype) and copy is False:
          # Ensure that self.astype(self.dtype) is self
          return self
  
      new_values = self._data.astype(dtype, copy=copy)
  
      # pass copy=False because any copying will be done in the
      #  _data.astype call above
      return Index(
          new_values, dtype=new_values.dtype, name=self.name, copy=False
      )
  
imports: import operator
  import warnings
  import numpy
  from pandas._libs import NaT, iNaT, lib
  from pandas.compat.numpy import function
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import Appender, cache_readonly, deprecate_kwarg
  from pandas.core.dtypes.common import ensure_int64, is_dtype_equal, is_float, is_integer, is_list_like, is_period_dtype, is_scalar
  from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
  from pandas.core import algorithms, ops
  from pandas.core.accessor import PandasDelegate
  from pandas.core.arrays import ExtensionOpsMixin
  from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin, _ensure_datetimelike_to_i8
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, _index_shared_docs
  from pandas.core.tools.timedeltas import to_timedelta
  import pandas.io.formats.printing
label_desc: Use image node_id 34 for calling the DatetimeIndexOpsMixin obj's underlying member method code with example usage: obj.astype(dtype, copy) and returns: Index, self