code: def __setitem__(self, indexes, value):
      if not np.isscalar(value):
          raise NotImplementedError(
              "Only scalar value is supported to set by loc"
          )
      if not isinstance(self._obj, DATAFRAME_TYPE):
          raise NotImplementedError(
              "Only DataFrame is supported to set by loc"
          )
      indexes = process_loc_indexes(
          self._obj, indexes, fetch_index=False
      )
      use_iloc, new_indexes = self._use_iloc(indexes)
      if use_iloc:
          op = DataFrameIlocSetItem(indexes=new_indexes, value=value)
          ret = op(self._obj)
          self._obj.data = ret.data
      else:
          other_indices = []
          indices_tileable = [
              idx
              for idx in indexes
              if isinstance(idx, ENTITY_TYPE)
              or other_indices.append(idx)
          ]
          op = DataFramelocSetItem(indexes=other_indices, value=value)
          ret = op([self._obj] + indices_tileable)
          self._obj.data = ret.data
  
imports: from numbers import Integral
  from typing import Dict
  import numpy
  import pandas
  from pandas.core.dtypes.cast import find_common_type
  from pandas.core.indexing import IndexingError
  from .iloc import DataFrameIlocSetItem
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, ListField, AnyField
  from ...tensor.datasource import asarray
  from ...tensor.utils import calc_sliced_size, filter_inputs
  from ...utils import lazy_import, is_full_slice
  from ..core import IndexValue, DATAFRAME_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, is_index_value_identical
  from .index_lib import DataFrameLocIndexesHandler
label_desc: Use image node_id 4 for calling the DataFrameLoc obj's underlying member method code with example usage: obj.__setitem__(indexes, value) without return types