code: def __init__(
      self,
      dtype_values=None,
      errors=None,
      category_cols=None,
      output_types=None,
      **kw,
  ):
      super().__init__(
          _dtype_values=dtype_values,
          _errors=errors,
          _category_cols=category_cols,
          _output_types=output_types,
          **kw,
      )
  
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 1 to create a new DataFrameAstype object from inherited base classes: DataFrameOperand, DataFrameOperandMixin with example: obj = DataFrameAstype(dtype_values, errors, category_cols, output_types)