code: def astype(self, dtype, copy=True):
      dtype = pandas_dtype(dtype)
      if needs_i8_conversion(dtype):
          msg = (
              "Cannot convert Float64Index to dtype {dtype}; integer "
              "values are required for conversion"
          ).format(dtype=dtype)
          raise TypeError(msg)
      elif (
          is_integer_dtype(dtype)
          and not is_extension_array_dtype(dtype)
      ) and self.hasnans:
          # TODO(jreback); this can change once we have an EA Index type
          # GH 13149
          raise ValueError("Cannot convert NA to integer")
      return super(Float64Index, self).astype(dtype, copy=copy)
  
imports: import warnings
  import numpy
  from pandas._libs import index
  import pandas.compat
  from pandas.util._decorators import Appender, cache_readonly
  from pandas.core.dtypes.common import is_bool, is_bool_dtype, is_dtype_equal, is_extension_array_dtype, is_float, is_integer_dtype, is_scalar, needs_i8_conversion, pandas_dtype
  import pandas.core.dtypes.concat
  from pandas.core.dtypes.missing import isna
  from pandas.core import algorithms
  import pandas.core.common
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, InvalidIndexError, _index_shared_docs
  from pandas.core.ops import get_op_result_name
label_desc: Use image node_id 2 for calling the Float64Index obj's underlying member method code with example usage: obj.astype(dtype, copy) and returns: super