code: def filter(self, predicates):
          
          tys = []
          for col_name, raw_column in self.raw_columns.items():
              dtype = str(raw_column.dtype)
              if dtype == 'object' or dtype == '|S64':
                  weld_type = WeldVec(WeldChar())
              else:
                  weld_type = grizzly_impl.numpy_to_weld_type_mapping[dtype]
              tys.append(weld_type)
  
          if len(tys) == 1:
              weld_type = tys[0]
          else:
              weld_type = WeldStruct(tys)
  
          if isinstance(predicates, SeriesWeld):
              predicates = predicates.expr
  
          return DataFrameWeldExpr(
              grizzly_impl.filter(
                  grizzly_impl.zip_columns(
                      self.raw_columns.values(),
                  ),
                  predicates
              ),
              self.raw_columns.keys(),
              weld_type
          )
docs: Summary
  
          Args:
              grouping_column_name (TYPE): Description
  
          Returns:
              TYPE: Description