18.9.12

Normalize to USPS Street Abbreviations using Python

Here's a function i recently wrote for converting street suffixes using common street suffixes mapped to the usps standard.  You can find the list on the usps site.


Came in handy for some fuzzy matching of address strings...

def normalizeStreetSuffixes(inputValue):
        '''
        Use common abbreviations -> USPS standardized abbreviation to replace common street suffixes

        Obtains list from https://www.usps.com/send/official-abbreviations.htm
        '''
        usps_street_abbreviations = {'trpk': 'tpke', 'forges': 'frgs', 'bypas': 'byp', 'mnr': 'mnr', 'viaduct': 'via', 'mnt': 'mt',
         'lndng': 'lndg', 'vill': 'vlg', 'aly': 'aly', 'mill': 'ml', 'pts': 'pts', 'centers': 'ctrs', 'row': 'row', 'cnter': 'ctr',
          'hrbor': 'hbr', 'tr': 'trl', 'lndg': 'lndg', 'passage': 'psge', 'walks': 'walk', 'frks': 'frks', 'crest': 'crst', 'meadows': 'mdws',
           'freewy': 'fwy', 'garden': 'gdn', 'bluffs': 'blfs', 'vlg': 'vlg', 'vly': 'vly', 'fall': 'fall', 'trk': 'trak', 'squares': 'sqs',
            'trl': 'trl', 'harbor': 'hbr', 'frry': 'fry', 'div': 'dv', 'straven': 'stra', 'cmp': 'cp', 'grdns': 'gdns', 'villg': 'vlg',
             'meadow': 'mdw', 'trails': 'trl', 'streets': 'sts', 'prairie': 'pr', 'hts': 'hts', 'crescent': 'cres', 'pass': 'pass',
              'ter': 'ter', 'port': 'prt', 'bluf': 'blf', 'avnue': 'ave', 'lights': 'lgts', 'rpds': 'rpds', 'harbors': 'hbrs',
               'mews': 'mews', 'lodg': 'ldg', 'plz': 'plz', 'tracks': 'trak', 'path': 'path', 'pkway': 'pkwy', 'gln': 'gln',
                'bot': 'btm', 'drv': 'dr', 'rdg': 'rdg', 'fwy': 'fwy', 'hbr': 'hbr', 'via': 'via', 'divide': 'dv', 'inlt': 'inlt',
                 'fords': 'frds', 'avenu': 'ave', 'vis': 'vis', 'brk': 'brk', 'rivr': 'riv', 'oval': 'oval', 'gateway': 'gtwy',
                  'stream': 'strm', 'bayoo': 'byu', 'msn': 'msn', 'knoll': 'knl', 'expressway': 'expy', 'sprng': 'spg',
                   'flat': 'flt', 'holw': 'holw', 'grden': 'gdn', 'trail': 'trl', 'jctns': 'jcts', 'rdgs': 'rdgs',
                    'tunnel': 'tunl', 'ml': 'ml', 'fls': 'fls', 'flt': 'flt', 'lks': 'lks', 'mt': 'mt', 'groves': 'grvs',
                     'vally': 'vly', 'ferry': 'fry', 'parkway': 'pkwy', 'radiel': 'radl', 'strvnue': 'stra', 'fld': 'fld',
                      'overpass': 'opas', 'plaza': 'plz', 'estate': 'est', 'mntn': 'mtn', 'lock': 'lck', 'orchrd': 'orch',
                       'strvn': 'stra', 'locks': 'lcks', 'bend': 'bnd', 'kys': 'kys', 'junctions': 'jcts', 'mountin': 'mtn',
                        'burgs': 'bgs', 'pine': 'pne', 'ldge': 'ldg', 'causway': 'cswy', 'spg': 'spg', 'beach': 'bch', 'ft': 'ft',
                         'crse': 'crse', 'motorway': 'mtwy', 'bluff': 'blf', 'court': 'ct', 'grov': 'grv', 'sprngs': 'spgs',
                          'ovl': 'oval', 'villag': 'vlg', 'vdct': 'via', 'neck': 'nck', 'orchard': 'orch', 'light': 'lgt',
                           'sq': 'sq', 'pkwy': 'pkwy', 'shore': 'shr', 'green': 'grn', 'strm': 'strm', 'islnd': 'is',
                            'turnpike': 'tpke', 'stra': 'stra', 'mission': 'msn', 'spngs': 'spgs', 'course': 'crse',
                             'trafficway': 'trfy', 'terrace': 'ter', 'hway': 'hwy', 'avenue': 'ave', 'glen': 'gln',
                              'boul': 'blvd', 'inlet': 'inlt', 'la': 'ln', 'ln': 'ln', 'frst': 'frst', 'clf': 'clf',
                               'cres': 'cres', 'brook': 'brk', 'lk': 'lk', 'byp': 'byp', 'shoar': 'shr', 'bypass': 'byp',
                                'mtin': 'mtn', 'ally': 'aly', 'forest': 'frst', 'junction': 'jct', 'views': 'vws', 'wells': 'wls', 'cen': 'ctr',
                                 'exts': 'exts', 'crt': 'ct', 'corners': 'cors', 'trak': 'trak', 'frway': 'fwy', 'prarie': 'pr', 'crossing': 'xing',
                                  'extn': 'ext', 'cliffs': 'clfs', 'manors': 'mnrs', 'ports': 'prts', 'gatewy': 'gtwy', 'square': 'sq', 'hls': 'hls',
                                   'harb': 'hbr', 'loops': 'loop', 'mdw': 'mdw', 'smt': 'smt', 'rd': 'rd', 'hill': 'hl', 'blf': 'blf',
                                    'highway': 'hwy', 'walk': 'walk', 'clfs': 'clfs', 'brooks': 'brks', 'brnch': 'br', 'aven': 'ave',
                                     'shores': 'shrs', 'iss': 'iss', 'route': 'rte', 'wls': 'wls', 'place': 'pl', 'sumit': 'smt', 'pines': 'pnes',
                                      'trks': 'trak', 'shoal': 'shl', 'strt': 'st', 'frwy': 'fwy', 'heights': 'hts', 'ranches': 'rnch',
                                       'boulevard': 'blvd', 'extnsn': 'ext', 'mdws': 'mdws', 'hollows': 'holw', 'vsta': 'vis', 'plains': 'plns',
                                        'station': 'sta', 'circl': 'cir', 'mntns': 'mtns', 'prts': 'prts', 'shls': 'shls', 'villages': 'vlgs',
                                         'park': 'park', 'nck': 'nck', 'rst': 'rst', 'haven': 'hvn', 'turnpk': 'tpke', 'expy': 'expy', 'sta': 'sta',
                                          'expr': 'expy', 'stn': 'sta', 'expw': 'expy', 'street': 'st', 'str': 'st', 'spurs': 'spur', 'crecent': 'cres',
                                           'rad': 'radl', 'ranch': 'rnch', 'well': 'wl', 'shoals': 'shls', 'alley': 'aly', 'plza': 'plz', 'medows': 'mdws',
                                            'allee': 'aly', 'knls': 'knls', 'ests': 'ests', 'st': 'st', 'anx': 'anx', 'havn': 'hvn', 'paths': 'path', 'bypa': 'byp',
                                             'spgs': 'spgs', 'mills': 'mls', 'parks': 'park', 'byps': 'byp', 'flts': 'flts', 'tunnels': 'tunl', 'club': 'clb', 'sqrs': 'sqs',
                                              'hllw': 'holw', 'manor': 'mnr', 'centre': 'ctr', 'track': 'trak', 'hgts': 'hts', 'rnch': 'rnch', 'crcle': 'cir', 'falls': 'fls',
                                               'landing': 'lndg', 'plaines': 'plns', 'viadct': 'via', 'gdns': 'gdns', 'gtwy': 'gtwy', 'grove': 'grv', 'camp': 'cp', 'tpk': 'tpke',
                                                'drive': 'dr', 'freeway': 'fwy', 'ext': 'ext', 'points': 'pts', 'exp': 'expy', 'ky': 'ky', 'courts': 'cts', 'pky': 'pkwy', 'corner': 'cor',
                                                 'crssing': 'xing', 'mnrs': 'mnrs', 'unions': 'uns', 'cyn': 'cyn', 'lodge': 'ldg', 'trfy': 'trfy', 'circle': 'cir', 'bridge': 'brg',
                                                  'dl': 'dl', 'dm': 'dm', 'express': 'expy', 'tunls': 'tunl', 'dv': 'dv', 'dr': 'dr', 'shr': 'shr', 'knolls': 'knls', 'greens': 'grns',
                                                   'tunel': 'tunl', 'fields': 'flds', 'common': 'cmn', 'orch': 'orch', 'crk': 'crk', 'river': 'riv', 'shl': 'shl', 'view': 'vw',
                                                    'crsent': 'cres', 'rnchs': 'rnch', 'crscnt': 'cres', 'arc': 'arc', 'btm': 'btm', 'blvd': 'blvd', 'ways': 'ways', 'radl': 'radl',
                                                     'rdge': 'rdg', 'causeway': 'cswy', 'parkwy': 'pkwy', 'juncton': 'jct', 'statn': 'sta', 'gardn': 'gdn', 'mntain': 'mtn',
                                                      'crssng': 'xing', 'rapid': 'rpd', 'key': 'ky', 'plns': 'plns', 'wy': 'way', 'cor': 'cor', 'ramp': 'ramp', 'throughway': 'trwy',
                                                       'estates': 'ests', 'ck': 'crk', 'loaf': 'lf', 'hvn': 'hvn', 'wall': 'wall', 'hollow': 'holw', 'canyon': 'cyn', 'clb': 'clb',
                                                        'cswy': 'cswy', 'village': 'vlg', 'cr': 'crk', 'trce': 'trce', 'cp': 'cp', 'cv': 'cv', 'ct': 'cts', 'pr': 'pr', 'frg': 'frg',
                                                         'jction': 'jct', 'pt': 'pt', 'mssn': 'msn', 'frk': 'frk', 'brdge': 'brg', 'cent': 'ctr', 'spur': 'spur', 'frt': 'ft', 'pk': 'park',
                                                          'fry': 'fry', 'pl': 'pl', 'lanes': 'ln', 'gtway': 'gtwy', 'prk': 'park', 'vws': 'vws', 'stravenue': 'stra', 'lgt': 'lgt',
                                                           'hiway': 'hwy', 'ctr': 'ctr', 'prt': 'prt', 'ville': 'vl', 'plain': 'pln', 'mount': 'mt', 'mls': 'mls', 'loop': 'loop',
                                                            'riv': 'riv', 'centr': 'ctr', 'is': 'is', 'prr': 'pr', 'vl': 'vl', 'avn': 'ave', 'vw': 'vw', 'ave': 'ave', 'spng': 'spg',
                                                             'hiwy': 'hwy', 'dam': 'dm', 'isle': 'isle', 'crcl': 'cir', 'sqre': 'sq', 'jct': 'jct', 'jctn': 'jct', 'mountain': 'mtn',
                                                              'keys': 'kys', 'parkways': 'pkwy', 'drives': 'drs', 'tunl': 'tunl', 'jcts': 'jcts', 'knl': 'knl', 'center': 'ctr',
                                                               'driv': 'dr', 'tpke': 'tpke', 'sumitt': 'smt', 'canyn': 'cyn', 'ldg': 'ldg', 'harbr': 'hbr', 'rest': 'rst', 'shoars': 'shrs',
                                                                'vist': 'vis', 'gdn': 'gdn', 'islnds': 'iss', 'hills': 'hls', 'cresent': 'cres', 'point': 'pt', 'lake': 'lk', 'vlly': 'vly',
                                                                 'strav': 'stra', 'crossroad': 'xrd', 'bnd': 'bnd', 'strave': 'stra', 'stravn': 'stra', 'knol': 'knl', 'vlgs': 'vlgs',
                                                                  'forge': 'frg', 'cntr': 'ctr', 'cape': 'cpe', 'height': 'hts', 'lck': 'lck', 'highwy': 'hwy', 'trnpk': 'tpke', 'rpd': 'rpd',
                                                                   'boulv': 'blvd', 'circles': 'cirs', 'valleys': 'vlys', 'vst': 'vis', 'creek': 'crk', 'mall': 'mall', 'spring': 'spg',
                                                                    'brg': 'brg', 'holws': 'holw', 'lf': 'lf', 'est': 'est', 'xing': 'xing', 'trace': 'trce', 'bottom': 'btm',
                                                                     'streme': 'strm', 'isles': 'isle', 'circ': 'cir', 'forks': 'frks', 'burg': 'bg', 'run': 'run', 'trls': 'trl',
                                                                      'radial': 'radl', 'lakes': 'lks', 'rue': 'rue', 'vlys': 'vlys', 'br': 'br', 'cors': 'cors', 'pln': 'pln',
                                                                       'pike': 'pike', 'extension': 'ext', 'island': 'is', 'frd': 'frd', 'lcks': 'lcks', 'terr': 'ter',
                                                                        'union': 'un', 'extensions': 'exts', 'pkwys': 'pkwy', 'islands': 'iss', 'road': 'rd', 'shrs': 'shrs',
                                                                         'roads': 'rds', 'glens': 'glns', 'springs': 'spgs', 'missn': 'msn', 'ridge': 'rdg', 'arcade': 'arc',
                                                                          'bayou': 'byu', 'crsnt': 'cres', 'junctn': 'jct', 'way': 'way', 'valley': 'vly', 'fork': 'frk',
                                                                           'mountains': 'mtns', 'bottm': 'btm', 'forg': 'frg', 'ht': 'hts', 'ford': 'frd', 'hl': 'hl',
                                                                            'grdn': 'gdn', 'fort': 'ft', 'traces': 'trce', 'cnyn': 'cyn', 'cir': 'cir', 'un': 'un', 'mtn': 'mtn',
                                                                             'flats': 'flts', 'anex': 'anx', 'gatway': 'gtwy', 'rapids': 'rpds', 'villiage': 'vlg', 'flds': 'flds',
                                                                              'coves': 'cvs', 'rvr': 'riv', 'av': 'ave', 'pikes': 'pike', 'grv': 'grv', 'vista': 'vis', 'pnes': 'pnes',
                                                                               'forests': 'frst', 'field': 'fld', 'branch': 'br', 'grn': 'grn', 'dale': 'dl', 'rds': 'rds', 'annex': 'anx',
                                                                                'sqr': 'sq', 'cove': 'cv', 'squ': 'sq', 'skyway': 'skwy', 'ridges': 'rdgs', 'hwy': 'hwy', 'tunnl': 'tunl',
                                                                                 'underpass': 'upas', 'cliff': 'clf', 'lane': 'ln', 'land': 'land', 'bch': 'bch', 'dvd': 'dv', 'curve': 'curv',
                                                                                  'cpe': 'cpe', 'summit': 'smt', 'gardens': 'gdns'}
        words = inputValue.split()
        for w in words:
            if w in usps_street_abbreviations.keys():
                inputValue = inputValue.replace(w, usps_street_abbreviations[w])
        return inputValue

35 comments:

  1. This is a neat function, but note that it will return some undesired results for example, if the address is "123 Portland Port", it will retun "123 prtland prt", because it's using the str().replace() on the inputValue. It also requires lowercase input values, which might not always be expected.

    I made some modifications to it: https://stackoverflow.com/a/44725831/1467082

    ReplyDelete
  2. Very handy...thanks a bundle

    ReplyDelete
  3. I appreciate your efforts because it conveys the message of what you are trying to say. It's a great skill to make even the person who doesn't know about the subject could able to understand the subject . Your blogs are understandable and also elaborately described. I hope to read more and more interesting articles from your blog. All the best.


    rpa Training in annanagar

    blue prism Training in annanagar

    automation anywhere Training in annanagar

    iot Training in annanagar

    rpa Training in marathahalli

    blue prism Training in marathahalli

    automation anywhere Training in marathahalli

    blue prism training in jayanagar

    automation anywhere training in jayanagar


    ReplyDelete
  4. I appreciate your efforts because it conveys the message of what you are trying to say. It's a great skill to make even the person who doesn't know about the subject could able to understand the subject . Your blogs are understandable and also elaborately described. I hope to read more and more interesting articles from your blog. All the best.


    rpa Training in annanagar

    blue prism Training in annanagar

    automation anywhere Training in annanagar

    iot Training in annanagar

    rpa Training in marathahalli

    blue prism Training in marathahalli

    automation anywhere Training in marathahalli

    blue prism training in jayanagar

    automation anywhere training in jayanagar



    ReplyDelete
  5. This is quite educational arrange. It has famous breeding about what I rarity to vouch. Colossal proverb. This trumpet is a famous tone to nab to troths. Congratulations on a career well achieved. This arrange is synchronous s informative impolites festivity to pity. I appreciated what you ok extremely here 
    Blueprism online training

    Blue Prism Training in Pune

    ReplyDelete
  6. I have read a few of the articles on your website now, and I really like your style of blogging. I added it to my favourites blog site list and will be checking back soon.

    angularjs-Training in tambaram

    angularjs-Training in sholinganallur

    angularjs-Training in velachery

    angularjs Training in bangalore

    angularjs Training in bangalore

    ReplyDelete
  7. Thank you for an additional great post. Exactly where else could anybody get that kind of facts in this kind of a ideal way of writing? I have a presentation next week, and I’m around the appear for this kind of data.

    angularjs Training in bangalore

    angularjs Training in btm

    angularjs Training in electronic-city

    angularjs online Training

    angularjs Training in marathahalli

    ReplyDelete
  8. Hmm, it seems like your site ate my first comment (it was extremely long) so I guess I’ll just sum it up what I had written and say, I’m thoroughly enjoying your blog. I as well as an aspiring blog writer, but I’m still new to the whole thing. Do you have any recommendations for newbie blog writers? I’d appreciate it.

    AWS Interview Questions And Answers

    AWS Training in Bangalore | Amazon Web Services Training in Bangalore

    AWS Training in Pune | Best Amazon Web Services Training in Pune

    Amazon Web Services Training in Pune | Best AWS Training in Pune

    AWS Online Training | Online AWS Certification Course - Gangboard

    ReplyDelete
  9. Nice blog..! I really loved reading through this article. Thanks for sharing such
    a amazing post with us and keep blogging...Well written article Thank You for Sharing with Us pmp training Chennai | pmp training centers in Chennai | pmp training institutes in Chennai | pmp training and certification in Chennai | pmp training in velachery

    ReplyDelete
  10. But maybe you could a little more in the way of content so people could connect with it better. You’ve got an awful lot of text for only having one or 2 pictures. Maybe you could space it out better?
    iosh course in chennai

    ReplyDelete
  11. An amazing blog, it is very useful and Excellent Blog! I would like to say thanks for the efforts you have made in writing this post.


    ExcelR Data Science Course

    ReplyDelete
  12. I am looking for and I love to post a comment that "The content of your post is awesome" Great work!
    data analytics certification courses in Bangalore
    ExcelR Data science courses in Bangalore

    ReplyDelete
  13. I was just browsing through the internet looking for some information and came across your blog. I am impressed by the information that you have on this blog. It shows how well you understand this subject. Bookmarked this page, will come back for more.
    data science course in singapore

    ReplyDelete
  14. Really appreciate this wonderful post that you have provided for us.Great site and a great topic as well i really get amazed to read this. Its really good.
    I like viewing web sites which comprehend the price of delivering the excellent useful resource free of charge. I truly adored reading your posting. Thank you!
    Data Science Courses

    ReplyDelete
  15. Usually I never comment on blogs but your article is so convincing that I never stop myself to say something about it. You’re doing a great job Man,Keep it up.
    One data science
    One Machine Learning

    ReplyDelete
  16. Your info is really amazing with impressive content..Excellent blog with informative concept. Really I feel happy to see this useful blog, Thanks for sharing such a nice blog..
    If you are looking for any Data science Related information please visit our website data science institutes in bangalore page!

    ReplyDelete
  17. http://bcdcspatial.blogspot.com/2012/09/normalize-to-usps-street-abbreviations.html

    ReplyDelete
  18. Great post . Eaxh and every point you explained well.I never get bored while going through this awsome post.Thank you for sharing this and also if you want to know more about python course please visit python training in btm Layout website

    ReplyDelete


  19. Nice article and thanks for sharing with us. Its very informative



    Machine Learning Training in Hyderabad

    ReplyDelete


  20. Nice article and thanks for sharing with us. Its very informative



    Plots in TUKKUGUDA

    ReplyDelete
  21. Awesome..I read this post so nice and very imformative information...thanks for sharing
    DevOps Training in Chennai

    DevOps Course in Chennai

    ReplyDelete
  22. Data Science Course in Chennai | Infycle Technologies

    Data science can be defined as a blend of Mathematics. The entire Data Life Cycle is covered in our Data Science course in Chennai, which includes Data Architecture, Statistics, Advanced Data Analytics, and Machine Learning. To enrol in this course, you must have a basic understanding of statistics and mathematics. We Infycle offer the Data Science course in Chennai with 200% practical classes, pre-mock interview sessions, and more career counseling classes. For a free demo session, call us at 7502633633.

    Best traing institute in chennai

    ReplyDelete
  23. This comment has been removed by the author.

    ReplyDelete
  24. AI Patasala highly acclaimed Python Course in the Hyderabad course is your ideal choice for a career in Python.
    AI Patasala Python Courses

    ReplyDelete
  25. Really an awesome blog, informative and knowledgeable content. Keep sharing more stuff like this. Thank you.
    Data Science Course and Placements in Hyderabad

    ReplyDelete
  26. You re in point of fact a just right webmaster. The website loading speed is amazing. It kind of feels that you're doing any distinctive trick. Moreover, The contents are masterpiece. you have done a fantastic activity on this subject! data analytics course in pune

    ReplyDelete
  27. Great Blog. thanks for the post Very useful Information

    Machine Learning Training in Hyderabad

    ReplyDelete