code: def to_pandas(
      self, *, index: Optional[pd.Index] = None, nullable: bool = False
  ) -> pd.Series:
      # Note: This does not handle null values in the interval column.
      # However, this exact sequence (calling __from_arrow__ on the output of
      # self.to_arrow) is currently the best known way to convert interval
      # types into pandas (trying to convert the underlying numerical columns
      # directly is problematic), so we're stuck with this for now.
      if nullable:
          raise NotImplementedError(f"{nullable=} is not implemented.")
      return pd.Series(
          self.dtype.to_pandas().__from_arrow__(self.to_arrow()),
          index=index,
      )
  
file_path: cudf/python/cudf/cudf/core/column/interval.py
imports: from typing import Optional
  import pandas
  import pyarrow
  import cudf
  from cudf.core.column import StructColumn
  from cudf.core.dtypes import CategoricalDtype, IntervalDtype
label_desc: Use image node_id 8 for calling the IntervalColumn obj's underlying member method code with example usage: obj.to_pandas() and returns: pd