Work around for shape issues with to_dataframe

src/fastoad/gui/variable_viewer.py

@@ -209,23 +209,22 @@ def _sheet_to_df(sheet: sh.Sheet) -> pd.DataFrame:
         :param sheet: the ipysheet Sheet to be converted
         :return the equivalent pandas DataFrame
         """
-        df = sh.to_dataframe(sheet)
-        # data = []
-        # for cell in sheet.cells:
-        #     if cell.row_end - cell.row_start == 0 and cell.column_end - cell.column_start == 0:
-        #         data.append(cell.value)
-        #     else:
-        #         data.extend([cell.value] * (cell.row_end - cell.row_start + 1))
-        #
-        # # Reshape data to match the number of columns
-        # num_columns = len(sheet.column_headers)
-        # reshaped_data = [data[i:i + num_columns] for i in range(0, len(data), num_columns)]
-        #
-        # # Ensure reshaped_data has the correct number of rows
-        # if len(reshaped_data[-1]) != num_columns:
-        #     reshaped_data.pop()
-        #
-        # df = pd.DataFrame(reshaped_data, columns=sheet.column_headers)
+        data = []
+        for cell in sheet.cells:
+            if cell.row_end - cell.row_start == 0 and cell.column_end - cell.column_start == 0:
+                data.append(cell.value)
+            else:
+                data.extend([cell.value] * (cell.row_end - cell.row_start + 1))
+
+        # Reshape data to match the number of columns
+        num_columns = len(sheet.column_headers)
+        reshaped_data = [data[i : i + num_columns] for i in range(0, len(data), num_columns)]
+
+        # Ensure reshaped_data has the correct number of rows
+        if len(reshaped_data[-1]) != num_columns:
+            reshaped_data.pop()
+
+        df = pd.DataFrame(reshaped_data, columns=sheet.column_headers)
         return df
 
     # pylint: disable=unused-argument  # args has to be there for observe() to work