Update app.py

app.py

@@ -246,8 +246,8 @@ def fill_missing_quarters(df, lob, acc, transaction):
         l_missing_df[lob] = l
         missing_quarters.append(l_missing_df)
     
-    filled.append([lobs_dict.keys(),lobs_dict[col]])
-    filled.append("Total paddings (0.1): "+str(missing_count))
+    filled.append([lobs_dict.keys(),lobs_dict.values()])
+    #filled.append("Total paddings (0.1): "+str(missing_count))
     print("=="*100)
     print('Unique values in', acc, 'for missing quarters:', l_missing_df[acc].unique())
     # Concatenate the original dataframe and the missing quarters dataframe
@@ -636,17 +636,21 @@ def process(files,button):
             if len(filled_warn) == 0:
                 filled_warn = ['No fillings']
             else:
-                tempt_list = [element for element in filled_warn[-2][0] if element in columns]
-                filled_warn[-2] = "Padded columns "+str(list(tempt_list))+" with total of "+str(round(filled_warn[-2][1],3))+" each"
+                # tempt_list = [element for element in filled_warn[-2][0] if element in columns]
+                # filled_warn[-2] = "Padded columns "+str(list(tempt_list))+" with total of "+str(round(filled_warn[-2][1],3))+" each"
+                pass
+            fillings_amounts = filled_warn[-1][1]
+            filled_warn.pop(-1)
             sheet_data[name] = {
                 "Before columns": [old_olds],
                 'Sum Before':[sums_old,None,True],
                 "After columns": [ncols, '00FF00'],
                 'Sum After':[sums_new,None,True],
+                'Filling amount':[fillings_amounts,None,True]
                 'Fillings':[filled_warn,None],
                 "Warnings": sheetwarnings
             }            
-            
+
             c_name = name.split('.')[0]+'_cleaned.csv'
             df.to_csv(c_name,index=False)