New DF structure design

sdc/datatypes/hpat_pandas_dataframe_functions.py

@@ -421,7 +421,7 @@ def _dataframe_reduce_columns_codegen(func_name, func_params, series_params, col
     func_lines = [f'def _df_{func_name}_impl({joined}):']
     for i, c in enumerate(columns):
         result_c = f'result_{i}'
-        func_lines += [f'  series_{i} = pandas.Series({func_params[0]}._data[{i}])',
+        func_lines += [f'  series_{i} = pandas.Series({func_params[0]}._data[0][{i}])',
                        f'  {result_c} = series_{i}.{func_name}({series_params})']
         result_name_list.append(result_c)
     all_results = ', '.join(result_name_list)

sdc/hiframes/pd_dataframe_ext.py

@@ -122,10 +122,21 @@ def codegen(context, builder, signature, args):
         dataframe = cgutils.create_struct_proxy(
             signature.return_type)(context, builder)
 
+        # data_tup = context.make_tuple(
+        #     builder, types.Tuple(data_typs), data_arrs)
+        # column_tup = context.make_tuple(
+        #     builder, types.UniTuple(string_type, n_cols), column_strs)
+
+        data_list_type = types.List(data_typs[0])
+        data_list = context.build_list(builder, data_list_type, data_arrs)
         data_tup = context.make_tuple(
-            builder, types.Tuple(data_typs), data_arrs)
+            builder, types.Tuple([data_list_type]), [data_list])
+
+        col_list_type = types.List(string_type)
+        column_list = context.build_list(builder, col_list_type, column_strs)
         column_tup = context.make_tuple(
-            builder, types.UniTuple(string_type, n_cols), column_strs)
+            builder, types.UniTuple(col_list_type, 1), [column_list])
+
         zero = context.get_constant(types.int8, 0)
 
         dataframe.data = data_tup

sdc/hiframes/pd_dataframe_type.py

@@ -87,9 +87,11 @@ class DataFrameModel(models.StructModel):
     def __init__(self, dmm, fe_type):
         n_cols = len(fe_type.columns)
         members = [
-            ('data', types.Tuple(fe_type.data)),
+            # ('data', types.Tuple(fe_type.data)),
+            ('data', types.Tuple([types.List(fe_type.data[0])])),
             ('index', fe_type.index),
-            ('columns', types.UniTuple(string_type, n_cols)),
+            # ('columns', types.UniTuple(string_type, n_cols)),
+            ('columns', types.UniTuple(types.List(string_type), 1)),
             ('parent', types.pyobject),
         ]
         super(DataFrameModel, self).__init__(dmm, fe_type, members)