code: import pandas as pd
  import os
  
  os.chdir('Data')
  
  # Bridges identified using http://stat.abs.gov.au/itt/r.jsp?ABSMaps
  
  neighbours = [(117031337,121041417, 'Sydney - Haymarket - The Rocks', 'North Sydney - Lavender Bay'),
                (121041415, 122011418, 'Mosman', 'Balgowlah - Clontarf - Seaforth'),
                (121031408, 122031427, 'Lindfield - Roseville', 'Forestville - Killarney Heights'),
                (122031431, 122021423, 'Narrabeen - Collaroy', 'Warriewood - Mona Vale'),
                (121021404, 102011030, 'Berowra - Brooklyn - Cowan', 'Calga - Kulnura'),
                (120021389, 120011385, 'Lilyfield - Rozelle', 'Drummoyne - Rodd Point'),
                (120011385, 126021498, 'Drummoyne - Rodd Point', 'Gladesville - Huntleys Point'),
                (126021499, 121011400, 'Hunters Hill - Woolwich', 'Lane Cove - Greenwich'),
                (120011384, 126021591, 'Concord West - North Strathfield', 'Ryde'),
                (120011384, 125011473, 'Concord West - North Strathfield', 'Homebush Bay - Silverwater'),
                (128011531, 119041382, 'Sylvania - Taren Point', 'Sans Souci - Ramsgate'),
                (128011531, 119031374, 'Sylvania - Taren Point', 'South Hurstville - Blakehurst'),
                (128021536, 119031371, 'Oyster Bay - Como - Jannali', 'Oatley - Hurstville Grove'),
                (128021536, 128021535, 'Oyster Bay - Como - Jannali', 'Menai - Lucas Heights - Woronora'),
                (128021534, 119011358, 'llawong - Alfords Point', 'Padstow'),
                (119031372, 119011358, 'Peakhurst - Lugarno', 'Padstow'),
                (107031143, 107011547, 'Warilla', 'Windang - Primbee'),
                (111011212, 111011207, 'Swansea - Caves Beach', 'Belmont South - Blacksmiths'),
                (112031254, 112031552, 'Tweed Heads', 'Tweed Heads South')]
  
  
  neighbouring_suburbs = pd.read_csv('Geography/SA2_2016_NEIGHBOURS_expanded.csv', index_col = 0, names = ['src_SA2_MAIN16', 'nbr_SA2_MAIN16'], header = 0)
  
  additional_neighbours = pd.DataFrame(neighbours, columns = ['src_SA2_MAIN16', 'nbr_SA2_MAIN16', 'src_SA2_NAME16', 'nbr_SA2_NAME16'])
  
  
  neighbours_with_bridges = pd.concat((neighbouring_suburbs, additional_neighbours), ignore_index = True)
  
  neighbours_with_bridges[['src_SA2_MAIN16', 'nbr_SA2_MAIN16']].to_csv('Geography/2018-09-01-SA2Neighbouring_Suburbs_With_Bridges.csv', index = False)
  
apis: pandas.read_csv pandas.DataFrame pandas.concat