code: def setitem(self, axis, key, value):
          
  
          def setitem(df, internal_indices=[]):
              def _setitem():
                  if len(internal_indices) == 1:
                      if axis == 0:
                          df[df.columns[internal_indices[0]]] = value
                      else:
                          df.iloc[internal_indices[0]] = value
                  else:
                      if axis == 0:
                          df[df.columns[internal_indices]] = value
                      else:
                          df.iloc[internal_indices] = value
  
              try:
                  _setitem()
              except ValueError:
                  # TODO: This is a workaround for a pyarrow serialization issue
                  df = df.copy()
                  _setitem()
              return df
  
          if axis == 0:
              numeric_indices = list(self.columns.get_indexer_for([key]))
          else:
              numeric_indices = list(self.index.get_indexer_for([key]))
          prepared_func = self._prepare_method(setitem)
          if is_list_like(value):
              new_data = self.data.apply_func_to_select_indices_along_full_axis(
                  axis, prepared_func, numeric_indices, keep_remaining=True
              )
          else:
              new_data = self.data.apply_func_to_select_indices(
                  axis, prepared_func, numeric_indices, keep_remaining=True
              )
          return self.__constructor__(new_data, self.index, self.columns)
docs: Set the column defined by `key` to the `value` provided.
  
          Args:
              key: The column name to set.
              value: The value to set the column to.
  
          Returns:
               A new QueryCompiler