Update google_sheet_Legend.py

google_sheet_Legend.py

@@ -726,4 +726,40 @@ def DoorsLegend(Dictionary,spreadsheetId,worksheet):
     model_cell.color = (213 / 255, 219 / 255, 255 / 255)
     pygsheets.DataRange('A2', 'B2', worksheet=worksheet).apply_format(model_cell)
 
+def delete3_2(deletedrows,dictionary):
+
+  items=[]
+  print('dletefromlegend3.2')
+  idx=0
+  myDict=eval(dictionary)
+  df_doors=pd.DataFrame(myDict)
+  # deletedrows=eval(deletedrows)
+  strings=deletedrows['content']
+  for item in strings:
+    newitem=str(item).split('\n \n')
+    if 'single' in str(newitem):
+      current_value = df_doors.loc[df_doors['Type'] == 'Single Doors', 'Quantity'].values[0]
+
+      # Step 2: Subtract one from the current value
+      new_value = int(current_value) - 1
+
+      # Step 3: Update the DataFrame with the new value
+      df_doors.loc[df_doors['Type'] == 'Single Doors', 'Quantity'] = str(new_value)
+
+      # Print the updated DataFrame to verify the change
+      print(df_doors)
+    elif 'double' in str(newitem):
+      current_value = df_doors.loc[df_doors['Type'] == 'Double Doors', 'Quantity'].values[0]
+      print(current_value)
+      # Step 2: Subtract one from the current value
+      new_value = int(current_value) - 1
+      print(new_value)
+      # Step 3: Update the DataFrame with the new value
+      df_doors.loc[df_doors['Type'] == 'Double Doors', 'Quantity'] = str(new_value)
+
+      # Print the updated DataFrame to verify the change
+      print(df_doors)
+  df_doors = df_doors[['Type', 'Quantity']]
+  return df_doors
+
 ######################