code: def execute(cls, ctx, op):
      in_data = ctx[op.inputs[0].key]
      if not isinstance(op.dtype_values, dict):
          if op.category_cols is not None:
              uniques = [ctx[c.key] for c in op.inputs[1:]]
              dtype = dict(
                  (col, CategoricalDtype(unique_values))
                  for col, unique_values in zip(
                      op.category_cols, uniques
                  )
              )
              ctx[op.outputs[0].key] = in_data.astype(
                  dtype, errors=op.errors
              )
  
          elif isinstance(in_data, pd.Index):
              ctx[op.outputs[0].key] = in_data.astype(op.dtype_values)
          else:
              if (
                  _need_astype_contiguous
                  and not in_data.values.flags.contiguous
              ):
                  # astype changes the data order in pandas==1.3.0, see pandas#42396
                  in_data = in_data.copy()
              ctx[op.outputs[0].key] = in_data.astype(
                  op.dtype_values, errors=op.errors
              )
      else:
          selected_dtype = dict(
              (k, v)
              for k, v in op.dtype_values.items()
              if k in in_data.columns
          )
          if op.category_cols is not None:
              uniques = [ctx[c.key] for c in op.inputs[1:]]
              for col, unique_values in zip(op.category_cols, uniques):
                  selected_dtype[col] = CategoricalDtype(unique_values)
          ctx[op.outputs[0].key] = in_data.astype(
              selected_dtype, errors=op.errors
          )
  
imports: import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField, ListField
  from ...tensor.base import sort
  from ...utils import pd_release_version
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, build_empty_series, parse_index
label_desc: Use image node_id 9 for calling the DataFrameAstype obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types