Update google_sheet_Legend.py

google_sheet_Legend.py

@@ -59,6 +59,10 @@ def update_sheet(spreadsheetId, SimilarAreaDictionary, pdfpath):
     splittedpdfpath = re.split(r'[`\-=~!@#$%^&*()_+\[\]{};\'\\:"|<,/<>?]', pdfpath)
     if splittedpdfpath[-2].startswith('2.2') or splittedpdfpath[-2].startswith('2.1'):
         worksheet.set_dataframe(start='A1', df=SimilarAreaDictionary)
+    if splittedpdfpath[-2].startswith('2.8'):
+        DoorsLegend(SimilarAreaDictionary,spreadsheetId,worksheet)
+        return
+    
     else:
         top_header_format = [
             {'mergeCells': {  # areas
@@ -628,596 +632,98 @@ def deletefromlegend(deletedrows,SimilarAreaDictionarycopy,section, areaPermArr=
           SimilarAreaDictionarycopy.loc[idx,'Total Perimeter'] = SimilarAreaDictionarycopy.loc[idx,'Total Perimeter'] - perimstodelete[i]
   return SimilarAreaDictionarycopy
 
-######################
-######################
-# # -*- coding: utf-8 -*-
-# """Google Sheet to XML.ipynb
-
-# Automatically generated by Colaboratory.
-
-# Original file is located at
-#     https://colab.research.google.com/drive/1T-b1N8Gq6wwbBurODzJIdhRQNeRbyBnz
-# """
-
-# from googleapiclient.discovery import build
-# from google.oauth2 import service_account
-# import pygsheets
-# import ast
-# import re
-# import pandas as pd
-
-# def authorizeLegend():
-#   SCOPES = [
-#   'https://www.googleapis.com/auth/spreadsheets',
-#   'https://www.googleapis.com/auth/drive',
-#   'https://www.googleapis.com/auth/drive.metadata'
-#   ]
-#   credentials = service_account.Credentials.from_service_account_file('credentials.json', scopes=SCOPES)
-#   spreadsheet_service = build('sheets', 'v4', credentials=credentials)
-#   drive_service = build('drive', 'v3', credentials=credentials)
-#   gc = pygsheets.authorize(custom_credentials=credentials, client_secret='credentials.json')
-#   return spreadsheet_service,drive_service,gc
-
-
-# def legendGoogleSheets(SimilarAreaDictionary,path ,pdfpath, spreadsheetId=0):
-
-#   spreadsheet_service,drive_service,gc=authorizeLegend()
-#   ########
-#   legendTitle= path
-#   titles=gc.spreadsheet_titles()
-
-
-     
-#   if legendTitle in titles:
-#     print('found sheet ', legendTitle)
-#     ws=gc.open(str(legendTitle))
-#     spreadsheetId=ws.id
-#   else:
-# # ####### create new sheet
-#     print('creating new sheeet')
-
-#     spreadsheet_details = {
-#       'properties': {
-#           'title': path
-#           }
-#       }
-#     sheet = spreadsheet_service.spreadsheets().create(body=spreadsheet_details,
-#                                       fields='spreadsheetId').execute()
-                                          
-#     spreadsheetId = sheet.get('spreadsheetId')
-#     permission1 = {
-#       'type': 'anyone',
-#       'role': 'writer',
-#       # 'emailAddress': 'marthe.adr@gmail.com'
-#       }
-#     # permission2 = {
-#     #   'type': 'user',
-#     #   'role': 'writer',
-#     #   'emailAddress': 'marthe.adr@gmail.com',
-#     #   'pendingOwner': True
-#     # }
-
-
-#     drive_service.permissions().create(fileId=spreadsheetId, body=permission1, supportsAllDrives=True ).execute()
-#     ws=gc.open_by_key(spreadsheetId)
-    
-#   sheetId = '0'  # Please set sheet ID.
-#   worksheet = ws.worksheet(0)
-#   worksheet.title='Legend and data created'
-#   worksheet.clear()
-#   print('PDFPATHHH',pdfpath)
-#   ws.create_developer_metadata('path',pdfpath)
-#   splittedpdfpath=re.split(r'[`\-=~!@#$%^&*()_+\[\]{};\'\\:"|<,/<>?]', pdfpath)
-#   namepathArr=[legendTitle , spreadsheetId,ws.get_developer_metadata('path')[0].value]
-#   if splittedpdfpath[-2].startswith('2.2') or splittedpdfpath[-2].startswith('2.1') :
-#     worksheet.set_dataframe(start='A1',df=SimilarAreaDictionary)
-#     print(SimilarAreaDictionary)
-#   else:
-#     top_header_format = [
-#         {'mergeCells': { #areas
-#             'mergeType': 'MERGE_ROWS',
-#             'range': {
-#                 'sheetId': '0',
-#                 'startRowIndex': 1,
-#                 'endRowIndex': 2,
-#                 'startColumnIndex': 3,
-#                 'endColumnIndex':5
-                
-                
-#             }
-#         }},
-
-#       {'mergeCells': { #perimeters
-#           'mergeType': 'MERGE_ROWS',
-#           'range': {
-#               'sheetId': '0',
-#               'startRowIndex': 1,
-#               'endRowIndex': 2,
-#               'startColumnIndex': 5,
-#               'endColumnIndex':7
-#           }
-          
-#       }},
-#           {'mergeCells': { #lengths
-#           'mergeType': 'MERGE_ROWS',
-#           'range': {
-#               'sheetId': '0',
-#               'startRowIndex': 1,
-#               'endRowIndex': 2,
-#               'startColumnIndex': 7,
-#               'endColumnIndex':9
-#           }
-          
-#       }},
-
-#       {'mergeCells': { # legend and data created
-#           'mergeType': 'MERGE_ROWS',
-#           'range': {
-#               'sheetId': '0',
-#               'startRowIndex': 0,
-#               'endRowIndex': 1,
-#               'startColumnIndex': 0,
-#               'endColumnIndex':10
-#           }
-          
-#       }}
-#     ]
-
-    
-#     spreadsheet_service.spreadsheets().batchUpdate( spreadsheetId=spreadsheetId , body={'requests': top_header_format} ).execute()
-#     worksheet.cell((1,1)).value='Legend and Data Created'
-#     worksheet.cell((2,1)).value='Guess'
-#     worksheet.cell((2,2)).value='Color'
-#     worksheet.cell((2,3)).value='Count'
-#     worksheet.cell((2,4)).value='Areas'
-#     worksheet.cell((2,6)).value='Perimeters'
-#     worksheet.cell((2,8)).value='Lengths'
-#     worksheet.cell((2,10)).value='Texts'
-#     second_row_data=['Nr','m2','Total','m','Total','m','Total']
-#     if splittedpdfpath[-2].startswith('1.0') or  splittedpdfpath[-2].startswith('3.2'):
-#       worksheet.update_row(3,second_row_data,col_offset=2)
-#       worksheet.update_col(1,list(SimilarAreaDictionary['Guess']),row_offset=3)
-#       worksheet.update_col(3,list(SimilarAreaDictionary['Occurences']),row_offset=3)
-#       worksheet.update_col(4,list(SimilarAreaDictionary['Area']),row_offset=3)
-#       worksheet.update_col(5,list(SimilarAreaDictionary['Total Area']),row_offset=3)
-#       worksheet.update_col(6,list(SimilarAreaDictionary['Perimeter']),row_offset=3)
-#       worksheet.update_col(7,list(SimilarAreaDictionary['Total Perimeter']),row_offset=3)
-    
-#       worksheet.update_col(8,list(SimilarAreaDictionary['Length']),row_offset=3)
-#       worksheet.update_col(9,list(SimilarAreaDictionary['Total Length']),row_offset=3)
-#       worksheet.update_col(10,list(SimilarAreaDictionary['Texts']),row_offset=3)
-#       if splittedpdfpath[-2].startswith('1.0'):
-#         colorsUsed=[]
-#         for i in range(len(SimilarAreaDictionary)):
-#           colorsUsed.append([SimilarAreaDictionary['R'].iloc[i]  ,SimilarAreaDictionary['G'].iloc[i] , SimilarAreaDictionary['B'].iloc[i]] )
-#       elif splittedpdfpath[-2].startswith('3.2'):
-#         colorsUsed=list(SimilarAreaDictionary['Color'])
-  
-#     #legend specs here 
-#     rowsLen=len(SimilarAreaDictionary.values.tolist()) #kam row -- last row = rowsLen +1
-#     lastcell=worksheet.cell((rowsLen+2,1)) #row,col
-#     lastcellNotation=str(lastcell.address.label)
-#     # worksheet.set_data_validation('A3',lastcellNotation, condition_type='ONE_OF_LIST', condition_values=['Ground Beam','Pile Cap'], showCustomUi=True)
-
-#     #get lengths of df
-#     columnsLen=len(SimilarAreaDictionary.columns.values.tolist()) #kam column -- last col = columnsLen+1 3shan base0
-#     lastUsedCol=columnsLen+1
-  
-#     worksheet.adjust_column_width(start=2,end=3)
-#     worksheet.adjust_column_width(start=10,end=10)
-#     # if splittedpdfpath[-2].startswith('1.0'):
-#     worksheet.adjust_column_width(start=4,end=9,pixel_size=60)
-#     startrow = 3
-#     # elif  splittedpdfpath[-2].startswith('3.2'):
-#       # startrow=2
-
-#     sheetId = '0'  # Please set sheet ID.
-#     for i in range(len(colorsUsed)):
-
-#       print(colorsUsed[i])
-#       r,g,b=colorsUsed[i]
-#       body = {
-#         "requests": [
-#           { 
-#             "updateCells": {
-#               "range": {
-#                 "sheetId": sheetId,
-#                 "startRowIndex": i+startrow,
-#                 # "endRowIndex":4 ,
-#                 "startColumnIndex":1,
-
-#                 # "endColumnIndex": 0
-#               },
-
-#               "rows": [
-#                 {
-#                   "values": [ 
-#                     {
-#                       "userEnteredFormat": {
-#                         "backgroundColor": {
-                      
-#                                 "red": r/255,
-#                                 "green": g/255,
-#                                 "blue": b/255,
-#                                 "alpha": 0.4,
-                                    
-#                         }
-                        
-#                       }
-#                     }
-#                   ]
-#                 }
-#               ],
-#               "fields": "userEnteredFormat.backgroundColor",
-          
-#             }
-
-
-
-#           }
-#         ]
-#       }
-#       res =  spreadsheet_service.spreadsheets().batchUpdate(spreadsheetId=spreadsheetId, body=body).execute()
-#     # if splittedpdfpath[-2].startswith('1.0'):
-#     endColindex=10
-#     endrow=3
-#     body2={
-#     "requests": [
-#       {
-#         "updateBorders": {
-#           "range": {
-#             "sheetId": sheetId,
-#             "startRowIndex": 0,
-#             "endRowIndex": len(SimilarAreaDictionary)+endrow,
-#             "startColumnIndex": 0,
-#             "endColumnIndex": endColindex
-#           },
-#           "top": {
-#             "style": "SOLID",
-#             "width": 2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#           "bottom": {
-#             "style": "SOLID",
-#             "width": 2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#           "left":{
-#             "style": "SOLID",
-#             "width":2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#           "right":{
-#             "style": "SOLID",
-#             "width": 2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#           "innerHorizontal":{
-#             "style": "SOLID",
-#             "width":2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#           "innerVertical": {
-#             "style": "SOLID",
-#             "width": 2,
-#             "color": {
-#               "red": 0.0,
-#               "green":0.0,
-#               "blue":0.0
-#             },
-#           },
-#         }
-#       }
-#     ]
-#   }
-#     spreadsheet_service.spreadsheets().batchUpdate(spreadsheetId=spreadsheetId, body=body2).execute()
-    
-#     model_cell =worksheet.cell('A1')
-#     model_cell.set_text_format('bold', True)
-#     model_cell.set_horizontal_alignment( pygsheets.custom_types.HorizontalAlignment.CENTER )
-#     model_cell.color  = (213/255,	219/255	,255/255)
-#     pygsheets.DataRange('A2','J2', worksheet=worksheet).apply_format(model_cell)
-#   spreadsheet_url = "https://docs.google.com/spreadsheets/d/%s" % spreadsheetId
-#   print(spreadsheet_url)
-#   drive_service.permissions().update(transferOwnership=True , fileId=spreadsheetId,permissionId='11OfoB4Z6wOVII8mYmbnCbbqTQs7rYA65') 
-
-
-#   return gc,spreadsheet_service,spreadsheetId ,spreadsheet_url  , namepathArr
-# #######################
-
-# def mapnametoLegend(McTName): 
-
-#   sectionKey = McTName.pop()
-#   key=sectionKey[0]
-#   section=sectionKey[1]
-
-#   spreadsheet_service,drive_service,gc=authorizeLegend()
-#   spreadsheet_key =str(key)  # Please set the Spreadsheet ID.
-  
-#   ws = gc.open_by_key(spreadsheet_key)
-#   # guessednamesfinal=getguessnames(gc,ws)
-#   sheetnames=[]
-#   unit=''
-#   # ws.add_worksheet("Summary")  # Please set the new sheet name.
-#   for i in ws._sheet_list:
-#     print(i)
-#     sheetnames.append(i.title)
-#     print(i.index)
-#   if 'XML Export Summary' in sheetnames:
-#     worksheetS = ws.worksheet_by_title('XML Export Summary')
-#   else:
-#     ws.add_worksheet("XML Export Summary")  # Please set the new sheet name.
-#   worksheetw = ws.worksheet(0) #legend
-#   worksheetS = ws.worksheet_by_title('XML Export Summary')
-#   summaryId= ws[1].id
-#   print('summaryyyID',summaryId)
-#   print('summaryyyID2',worksheetS.id)
-#   worksheetS.clear()
-
-#   countnames=0
-#   row0=['MC_T Name','Qty','Unit']
-#   worksheetS.update_row(1,row0)
-  
-  
-#   for i in range(len(McTName)):
-#     allgbnames=''
-#     item=''
-#     print(McTName[i][0])
-    
-#     # firstpart= re.split(r'[`\-=~!@#$%^&*()_+\[\]{};\'\\:"|<,./<>?]', McTName[i][0])
-#     print('kkk' ,McTName[i][2])
-#     if McTName[i][2].startswith('Area'):
-#       if section.startswith('1.0'):
-#         rowvalue=5# column 5 
-#       elif section.startswith('3.2'):
-#         rowvalue=3
-#       ar=0
-#       unit='m2'
-#     if McTName[i][2].startswith('Perimeter'):
-#       if section.startswith('1.0'):
-#         rowvalue=7# column 7
-#       elif section.startswith('3.2'):
-#         rowvalue=3
-#       ar=0   
-#       unit='m'
-#     if McTName[i][2].startswith('Length'):
-#       if section.startswith('1.0'):
-#         rowvalue=9# column 7
-#       elif section.startswith('3.2'):
-#         rowvalue=3
-#       ar=0   
-#       unit='m'
-#     if McTName[i][2].startswith('Count'):
-#       if section.startswith('1.0'):
-#         rowvalue=3# column 7
-#       elif section.startswith('3.2'):
-#         rowvalue=3
-#       ar=0   
-#       unit='Nr'
- 
-#     print('mcct',McTName[i][1])
-#     if isinstance(McTName[i][1], list):
-#       guessednames=worksheetw.get_col(1, returnas='matrix', include_tailing_empty=False)
-
-#       for m in McTName[i][1]:
-#         if m:
-#           if m.startswith('text1'):
-#             name=m.removeprefix('text1')
-#             allgbnames+= name +' +'
-#             indices = [o for o, x in enumerate(guessednames) if x == name]
-#             print(indices)
-#             for j in range(len(indices)):
-#               # print('kjjjj',roww[j])
-#               ar+=float(worksheetw.cell((indices[j]+1 ,rowvalue)).value) 
-#           else:
-#               item+=m + ' ,'
-#               print(item)
-#           n= McTName[i][0] + ' ( '+ allgbnames[:-2] +' , ' + item[:-1]  + ' )  ' 
-#     else:
-#       if McTName[i][1].startswith('text1'):
-#         name=McTName[i][1].removeprefix('text1')
-#         allgbnames+= name
-
-#         roww=worksheetw.find(name)
-#         print(roww)
-#         for j in range(len(roww)):
-#           print('kjjjj',roww[j])
-#           ar+=float(worksheetw.cell((roww[j].row ,rowvalue)).value) 
-#         n= McTName[i][0] + ' ( '+ allgbnames + ' )  ' 
-
-#     rowi=[str(n),ar,unit]
-#     worksheetS.update_row(i+2,rowi)
-#     # worksheetS.adjust_column_width(start=1,end=4)
-#     worksheetS.adjust_column_width(start=1,end=1, pixel_size=350)
-#     worksheetS.adjust_column_width(start=2,end=2, pixel_size=100)
-#     worksheetS.adjust_column_width(start=3,end=3)
-    
-#   xx=(worksheetS.cell( ( len(McTName) +1 ,3)) ).address.label
-#   model_cell1 =worksheetS.cell('A2')
-#   model_cell1.set_horizontal_alignment( pygsheets.custom_types.HorizontalAlignment.LEFT )
-#   pygsheets.DataRange('A2', str(xx), worksheet=worksheetS).apply_format(model_cell1)
 
+def DoorsLegend(Dictionary,spreadsheetId,worksheet):
+    top_header_format = [
+            {'mergeCells': {  # legend and data created
+                'mergeType': 'MERGE_ROWS',
+                'range': {
+                    'sheetId': '0',
+                    'startRowIndex': 0,
+                    'endRowIndex': 1,
+                    'startColumnIndex': 0,
+                    'endColumnIndex': 2
+                }
+            }}
+    ]
+    spreadsheet_service.spreadsheets().batchUpdate(spreadsheetId=spreadsheetId, body={'requests': top_header_format}).execute()
+    worksheet.cell((1, 1)).value = 'Legend and Data Created'
+    worksheet.set_dataframe(start='A2', df=Dictionary)
+
+    body2={ 
+      "requests": [
+        {
+          "updateBorders": {
+            "range": {
+              "sheetId": str(0),
+              "startRowIndex": 0,
+              "endRowIndex":  4,
+              "startColumnIndex": 0,
+              "endColumnIndex": 2
+            },
+            "top": {
+              "style": "SOLID",
+              "width": 2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+            "bottom": {
+              "style": "SOLID",
+              "width": 2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+            "left":{
+              "style": "SOLID",
+              "width":2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+            "right":{
+              "style": "SOLID",
+              "width": 2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+            "innerHorizontal":{
+              "style": "SOLID",
+              "width":2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+            "innerVertical": {
+              "style": "SOLID",
+              "width": 2,
+              "color": {
+                "red": 0.0,
+                "green":0.0,
+                "blue":0.0
+              },
+            },
+          }
+        }
+      ]
+    }
+    spreadsheet_service.spreadsheets().batchUpdate(spreadsheetId=spreadsheetId, body=body2).execute()
+    model_cell = worksheet.cell('A1')
+    model_cell.set_text_format('bold', True)
+    model_cell.set_horizontal_alignment(pygsheets.custom_types.HorizontalAlignment.CENTER)
+    model_cell.color = (213 / 255, 219 / 255, 255 / 255)
+    pygsheets.DataRange('A2', 'B2', worksheet=worksheet).apply_format(model_cell)
 
-#   model_cell =worksheetS.cell('A1')
-#   model_cell.set_text_format('bold', True)
-#   model_cell.set_horizontal_alignment( pygsheets.custom_types.HorizontalAlignment.CENTER )
-#   pygsheets.DataRange('A1','C1', worksheet=worksheetS).apply_format(model_cell)
-  
-#   body2={
-#   "requests": [
-#     {
-#       "updateBorders": {
-#         "range": {
-#           "sheetId": str(summaryId),
-#           "startRowIndex": 0,
-#           "endRowIndex":  len(McTName) +1 ,
-#           "startColumnIndex": 0,
-#           "endColumnIndex": 3
-#         },
-#         "top": {
-#           "style": "SOLID",
-#           "width": 2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#         "bottom": {
-#           "style": "SOLID",
-#           "width": 2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#         "left":{
-#           "style": "SOLID",
-#           "width":2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#         "right":{
-#           "style": "SOLID",
-#           "width": 2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#         "innerHorizontal":{
-#           "style": "SOLID",
-#           "width":2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#         "innerVertical": {
-#           "style": "SOLID",
-#           "width": 2,
-#           "color": {
-#             "red": 0.0,
-#             "green":0.0,
-#             "blue":0.0
-#           },
-#         },
-#       }
-#     }
-#   ]
-#   }
-#   spreadsheet_service.spreadsheets().batchUpdate(spreadsheetId=spreadsheet_key, body=body2).execute()
-#   return summaryId #,guessednamesfinal   
-
-#   # print(x,xarea)
-
-# def getguessnames(gc,ws):
-#   guessednamesfinal=[]
-#   worksheetw = ws.worksheet(0)
-#   guessednames=worksheetw.get_col(1, returnas='matrix', include_tailing_empty=False)
-#   print(guessednames[2:])
-#   for item in guessednames[2:]:
-#      if item not in guessednamesfinal:
-#         guessednamesfinal.append(item)
-#   print(guessednamesfinal)
-#   return guessednamesfinal
-
-# ################################################################
-
-# def deletefromlegend(deletedrows,SimilarAreaDictionarycopy,section, areaPermArr=[]):
-#   items=[]
-#   idx=0
-#   if section.startswith('1.0'):
-#     areaPermArr=ast.literal_eval(areaPermArr)
-#   myDict=eval(SimilarAreaDictionarycopy)
-#   SimilarAreaDictionarycopy=pd.DataFrame(myDict)
-#   # deletedrows=eval(deletedrows)
-#   strings=deletedrows['content']
-#   areastodelete = []
-#   perimstodelete=[]
-#   lengthstodelete=[]
-  
-
-#   for item in strings:
-#     items.append(str(item).split('\n \n'))
-#   # print('itemsssssss',float(re.findall("\d+\.\d+", str(items[i][0]).split()[0])[0])) #take area and perim mn hna l sec 3.2 and +/- value  margin 
-  
-#   for i in range(len(items)):
-#     print('ITEMSS',str(items[i]).split())
-#     items=ast.literal_eval(str(items[i]))
-#     areastodelete.append(float(re.findall("\d+\.\d+", str(items[i][0]).split()[1])[0]))
-#     perimstodelete.append(float(re.findall("\d+\.\d+", str(items[i][1]).split()[1])[0]) )
-#     lengthstodelete.append(float(re.findall("\d+\.\d+", str(items[i][2]).split()[1])[0]) )
-  
-#   for i in range(len(areastodelete)):#item in areastodelete:
-#     areamin=round(areastodelete[i],1)- 0.3
-#     areamax=round(areastodelete[i],1)+ 0.3
-#     perimmin=round(perimstodelete[i],1)- 0.3
-#     perimmax=round(perimstodelete[i],1)+ 0.3
-#     if section.startswith('1.0'):
-#       for p in range(len(areaPermArr)):
-        
-#         if areastodelete[i] in areaPermArr[p]:
-#           print('AAA',areaPermArr[p])
-#           area= areaPermArr[p][0]
-#           width= areaPermArr[p][1]
-#           height= areaPermArr[p][2]
-#     # if section.startswith('1.0'):
-#       widthMin= width -10
-#       widthMax= width +10
-#       heightMin = height-10
-#       heightMax=height+10
-#       found=SimilarAreaDictionarycopy.loc[SimilarAreaDictionarycopy.index[((SimilarAreaDictionarycopy['Rounded'] >=areamin) & (SimilarAreaDictionarycopy['Rounded']<=areamax) & (SimilarAreaDictionarycopy['Perimeter'] >=perimmin) & (SimilarAreaDictionarycopy['Perimeter']<=perimmax)   ) & ( ((SimilarAreaDictionarycopy['Width']>=widthMin) & (SimilarAreaDictionarycopy['Width']<=widthMax) & (SimilarAreaDictionarycopy['Height']>=heightMin) & (SimilarAreaDictionarycopy['Height']<=heightMax) ) | ((SimilarAreaDictionarycopy['Width']>=heightMin) & (SimilarAreaDictionarycopy['Width']<=heightMax) & (SimilarAreaDictionarycopy['Height']>=widthMin) & (SimilarAreaDictionarycopy['Height']<=widthMax) )) ]]
-#     elif section.startswith('3.2'):
-#       areamin=round(areastodelete[i],1)- 0.1
-#       areamax= round(areastodelete[i],1) + 0.1
-
-#       found=SimilarAreaDictionarycopy.loc[SimilarAreaDictionarycopy.index[((SimilarAreaDictionarycopy['Area'] >=areamin) & (SimilarAreaDictionarycopy['Area']<=areamax)   )]]
-
-#     if len(found.index.values ) >0:
-#       occ=SimilarAreaDictionarycopy.loc[found.index.values[0],'Occurences']
-#       if occ== 1: #drop row
-#         print('occ=1')
-#         SimilarAreaDictionarycopy= SimilarAreaDictionarycopy.drop(found.index.values[0])
-
-#       else: #occ minus 1 , total area - areavalue , total perim - perimvalue
-#         print('occ>1')
-#         if section.startswith('1.0'):
-#           idx=SimilarAreaDictionarycopy.index[((SimilarAreaDictionarycopy['Rounded'] >=areamin) & (SimilarAreaDictionarycopy['Rounded']<=areamax) & (SimilarAreaDictionarycopy['Perimeter'] >=perimmin) & (SimilarAreaDictionarycopy['Perimeter']<=perimmax)   ) & ( ((SimilarAreaDictionarycopy['Width']>=widthMin) & (SimilarAreaDictionarycopy['Width']<=widthMax) & (SimilarAreaDictionarycopy['Height']>=heightMin) & (SimilarAreaDictionarycopy['Height']<=heightMax) ) | ((SimilarAreaDictionarycopy['Width']>=heightMin) & (SimilarAreaDictionarycopy['Width']<=heightMax) & (SimilarAreaDictionarycopy['Height']>=widthMin) & (SimilarAreaDictionarycopy['Height']<=widthMax) )) ]
-#         elif section.startswith('3.2'):
-#           perimmin=round(perimstodelete[i],1)- 50
-#           perimmax=round(perimstodelete[i],1)+ 50
-#           idx=SimilarAreaDictionarycopy.index[((SimilarAreaDictionarycopy['Area'] >=areamin) & (SimilarAreaDictionarycopy['Area']<=areamax)  & (SimilarAreaDictionarycopy['Perimeter'] >=perimmin) & (SimilarAreaDictionarycopy['Perimeter']<=perimmax)    )]
-#         SimilarAreaDictionarycopy.loc[idx,'Total Area'] = SimilarAreaDictionarycopy.loc[idx,'Total Area'] - areastodelete[i]
-#         SimilarAreaDictionarycopy.loc[idx,'Total Perimeter'] = SimilarAreaDictionarycopy.loc[idx,'Total Perimeter'] - perimstodelete[i]
-#         SimilarAreaDictionarycopy.loc[idx,'Total Length'] = SimilarAreaDictionarycopy.loc[idx,'Total Length'] - lengthstodelete[i]
-#         SimilarAreaDictionarycopy.loc[idx,'Occurences'] = int(SimilarAreaDictionarycopy.loc[idx,'Occurences']) - 1
-#   return SimilarAreaDictionarycopy
-
-# ############################################################# 
+######################