version changes

pages/3_Saved_Scenarios.py

@@ -264,9 +264,10 @@ def download_scenarios():
             summary_rows.append([name_mod,
                                 channel.get('modified_total_spends') * channel.get('conversion_rate') ,
                                 channel.get('modified_total_sales'),
-                                channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate'),
-                                channel.get('modified_mroi'),
-                                channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate')])
+                                # channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate'),
+                                # channel.get('modified_mroi'),
+                                # channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate')
+                                ])
         _spends.append(_sales)
         column_names.append('NRPU')
         scenario_df = pd.DataFrame(_spends).T
@@ -277,11 +278,14 @@ def download_scenarios():
         summary_rows.append(['Total',
                         scenario_dict.get('modified_total_spends') ,
                         scenario_dict.get('modified_total_sales'),
-                        scenario_dict.get('modified_total_sales') / scenario_dict.get('modified_total_spends'),
-                        '-',
-                        scenario_dict.get('modified_total_spends') / scenario_dict.get('modified_total_sales')])
+                        # scenario_dict.get('modified_total_sales') / scenario_dict.get('modified_total_spends'),
+                        # '-',
+                        # scenario_dict.get('modified_total_spends') / scenario_dict.get('modified_total_sales')
+                        ])
         columns_index = pd.MultiIndex.from_product([[''],['Channel']], names=["first", "second"])
-        columns_index = columns_index.append(pd.MultiIndex.from_product([[scenario_name],['Spends','NRPU','ROI','MROI','Spends per NRPU']], names=["first", "second"]))
+        columns_index = columns_index.append(pd.MultiIndex.from_product([[scenario_name],['Spends','Prospects',
+                                                                                        #   'ROI','MROI','Spends per NRPU'
+                                                                                        ]], names=["first", "second"]))
         if summary_df is None:
             summary_df = pd.DataFrame(summary_rows, columns = columns_index)
             summary_df = summary_df.set_index(('','Channel'))