class_docstr: The class for binary operations of pandas-on-Spark objects with ArrayType.
class_docstr_tok: ["The","class","for","binary","operations","of","pandas-on-Spark","objects","with","ArrayType","."]
code: def astype(
      self, index_ops: IndexOpsLike, dtype: Union[str, type, Dtype]
  ) -> IndexOpsLike:
      dtype, spark_type = pandas_on_spark_type(dtype)
  
      if isinstance(dtype, CategoricalDtype):
          return _as_categorical_type(index_ops, dtype, spark_type)
      elif isinstance(spark_type, BooleanType):
          return _as_bool_type(index_ops, dtype)
      elif isinstance(spark_type, StringType):
          return _as_string_type(index_ops, dtype)
      else:
          return _as_other_type(index_ops, dtype, spark_type)
  
imports: from typing import Any, Union, cast
  from pandas.api.types import CategoricalDtype
  from pyspark.pandas._typing import Dtype, IndexOpsLike, SeriesOrIndex
  from pyspark.pandas.base import column_op, IndexOpsMixin
  from pyspark.pandas.data_type_ops.base import DataTypeOps, _as_bool_type, _as_categorical_type, _as_other_type, _as_string_type, _sanitize_list_like
  from pyspark.pandas.typedef import pandas_on_spark_type
  from pyspark.sql import functions, Column
  from pyspark.sql.types import ArrayType, BooleanType, NumericType, StringType
label_desc: Use image node_id 7 for calling the ArrayOps obj's underlying member method code with example usage: obj.astype(index_ops, dtype) and returns: _as_categorical_type, _as_bool_type, _as_string_type, _as_other_type