class_docstr: The class for binary operations of pandas-on-Spark objects with categorical types.
code: def astype(
      self, index_ops: IndexOpsLike, dtype: Union[str, type, Dtype]
  ) -> IndexOpsLike:
      dtype, _ = pandas_on_spark_type(dtype)
  
      if isinstance(dtype, CategoricalDtype) and (
          (dtype.categories is None) or (index_ops.dtype == dtype)
      ):
          return index_ops.copy()
  
      return _to_cat(index_ops).astype(dtype)
  
imports: from itertools import chain
  from typing import cast, Any, Union
  import pandas
  import numpy
  from pandas.api.types import is_list_like, CategoricalDtype
  from pyspark.pandas._typing import Dtype, IndexOpsLike, SeriesOrIndex
  from pyspark.pandas.base import IndexOpsMixin
  from pyspark.pandas.data_type_ops.base import _sanitize_list_like, DataTypeOps
  from pyspark.pandas.typedef import pandas_on_spark_type
  from pyspark.sql import functions
  from pyspark.sql.utils import pyspark_column_op
label_desc: Use image node_id 4 for calling the CategoricalOps obj's underlying member method code with example usage: obj.astype(index_ops, dtype) and returns: _to_cat, index_ops