class_docstr: The base class for binary operations of pandas-on-Spark objects (of different data types).
class_docstr_tok: ["The","base","class","for","binary","operations","of","pandas-on-Spark","objects","(","of","different","data","types",")","."]
code: def ror(self, left: IndexOpsLike, right: Any) -> SeriesOrIndex:
      _sanitize_list_like(right)
      return left.__or__(right)
  
imports: import numbers
  from abc import ABCMeta
  from typing import Any, Optional, Union
  from itertools import chain
  import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from pyspark.sql import functions
  from pyspark.sql.types import ArrayType, BinaryType, BooleanType, DataType, DateType, DayTimeIntervalType, DecimalType, FractionalType, IntegralType, MapType, NullType, NumericType, StringType, StructType, TimestampType, TimestampNTZType, UserDefinedType
  from pyspark.pandas._typing import Dtype, IndexOpsLike, SeriesOrIndex
  from pyspark.pandas.typedef import extension_dtypes
  from pyspark.pandas.typedef.typehints import extension_dtypes_available, extension_float_dtypes_available, extension_object_dtypes_available, spark_type_to_pandas_dtype
  from pyspark.sql.utils import get_column_class
label_desc: Use image node_id 23 for calling the DataTypeOps obj's underlying member method code with example usage: obj.ror(left, right) and returns: left