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Splitting string ID code into various parts


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I have a series of identification codes that I need to split out. The format of these codes is [region(letter)][district(number)] - [place(number)][subdistrict(letter)]. An example of a some codes include S22-201, TT100-12, and V6-1B. Often there is no subdistrict, and all points fall within the same larger district (so no As or Cs or whatever at the end of the string.



I do not know Python very well, but have done by best to search around for relevant code to accomplish this, but have had very little luck. I can do parts of it, like splitting at the hyphen...



!Original_ID!.split('-')[0]


and then extracting the district...



!Split_ID![1:3]


But it seems like two steps for this is unnecessary, and only works when I know the specific number of characters in the string, which isn't realistic for a large data set. I'd like to be able to grab each peace at once: letters on the left of the hyphen, numbers on the left of the hyphen, numbers on the right of the hyphen, and letters (if any) on the right of the hyphen. I'd need the numeric fields to be integers (or I guess possibly floats in some rare cases maybe).










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    I have a series of identification codes that I need to split out. The format of these codes is [region(letter)][district(number)] - [place(number)][subdistrict(letter)]. An example of a some codes include S22-201, TT100-12, and V6-1B. Often there is no subdistrict, and all points fall within the same larger district (so no As or Cs or whatever at the end of the string.



    I do not know Python very well, but have done by best to search around for relevant code to accomplish this, but have had very little luck. I can do parts of it, like splitting at the hyphen...



    !Original_ID!.split('-')[0]


    and then extracting the district...



    !Split_ID![1:3]


    But it seems like two steps for this is unnecessary, and only works when I know the specific number of characters in the string, which isn't realistic for a large data set. I'd like to be able to grab each peace at once: letters on the left of the hyphen, numbers on the left of the hyphen, numbers on the right of the hyphen, and letters (if any) on the right of the hyphen. I'd need the numeric fields to be integers (or I guess possibly floats in some rare cases maybe).










    share|improve this question









    New contributor




    vce500 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      0












      0








      0








      I have a series of identification codes that I need to split out. The format of these codes is [region(letter)][district(number)] - [place(number)][subdistrict(letter)]. An example of a some codes include S22-201, TT100-12, and V6-1B. Often there is no subdistrict, and all points fall within the same larger district (so no As or Cs or whatever at the end of the string.



      I do not know Python very well, but have done by best to search around for relevant code to accomplish this, but have had very little luck. I can do parts of it, like splitting at the hyphen...



      !Original_ID!.split('-')[0]


      and then extracting the district...



      !Split_ID![1:3]


      But it seems like two steps for this is unnecessary, and only works when I know the specific number of characters in the string, which isn't realistic for a large data set. I'd like to be able to grab each peace at once: letters on the left of the hyphen, numbers on the left of the hyphen, numbers on the right of the hyphen, and letters (if any) on the right of the hyphen. I'd need the numeric fields to be integers (or I guess possibly floats in some rare cases maybe).










      share|improve this question









      New contributor




      vce500 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I have a series of identification codes that I need to split out. The format of these codes is [region(letter)][district(number)] - [place(number)][subdistrict(letter)]. An example of a some codes include S22-201, TT100-12, and V6-1B. Often there is no subdistrict, and all points fall within the same larger district (so no As or Cs or whatever at the end of the string.



      I do not know Python very well, but have done by best to search around for relevant code to accomplish this, but have had very little luck. I can do parts of it, like splitting at the hyphen...



      !Original_ID!.split('-')[0]


      and then extracting the district...



      !Split_ID![1:3]


      But it seems like two steps for this is unnecessary, and only works when I know the specific number of characters in the string, which isn't realistic for a large data set. I'd like to be able to grab each peace at once: letters on the left of the hyphen, numbers on the left of the hyphen, numbers on the right of the hyphen, and letters (if any) on the right of the hyphen. I'd need the numeric fields to be integers (or I guess possibly floats in some rare cases maybe).







      python arcmap field-calculator






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      Check out our Code of Conduct.











      share|improve this question









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      vce500 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share|improve this question




      share|improve this question








      edited 44 secs ago









      Vince

      14.7k32749




      14.7k32749






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      asked 24 mins ago









      vce500vce500

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          You're not going to be able to calculate two fields in one go.. though you can split it up into two calcs. I would do this with an update cursor:



          with arcpy.da.UpdateCursor(YourFeatureClass,['Original_ID','District','Split_ID']) as uCur:
          for sRow in uCur:
          OrigID = sRow[0].split('-')[0] # first element in the Original_ID
          charRng = range(len(OrigID)) # a range to iterate over
          Chars = ''
          Numbers = ''
          for Idx in charRng:
          if OrigID[Idx].isnumeric():
          Numbers += OrigID[Idx]
          else:
          chars += OrigID[Idx]
          sRow[1] = float(Numbers)
          sRow[2] = Chars
          uCur.updateRow(sRow)


          This shows how to break up a string into numbers and not numbers and put the values into a row, it should give you some ideas where to start from.





          share























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            1 Answer
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            0














            You're not going to be able to calculate two fields in one go.. though you can split it up into two calcs. I would do this with an update cursor:



            with arcpy.da.UpdateCursor(YourFeatureClass,['Original_ID','District','Split_ID']) as uCur:
            for sRow in uCur:
            OrigID = sRow[0].split('-')[0] # first element in the Original_ID
            charRng = range(len(OrigID)) # a range to iterate over
            Chars = ''
            Numbers = ''
            for Idx in charRng:
            if OrigID[Idx].isnumeric():
            Numbers += OrigID[Idx]
            else:
            chars += OrigID[Idx]
            sRow[1] = float(Numbers)
            sRow[2] = Chars
            uCur.updateRow(sRow)


            This shows how to break up a string into numbers and not numbers and put the values into a row, it should give you some ideas where to start from.





            share




























              0














              You're not going to be able to calculate two fields in one go.. though you can split it up into two calcs. I would do this with an update cursor:



              with arcpy.da.UpdateCursor(YourFeatureClass,['Original_ID','District','Split_ID']) as uCur:
              for sRow in uCur:
              OrigID = sRow[0].split('-')[0] # first element in the Original_ID
              charRng = range(len(OrigID)) # a range to iterate over
              Chars = ''
              Numbers = ''
              for Idx in charRng:
              if OrigID[Idx].isnumeric():
              Numbers += OrigID[Idx]
              else:
              chars += OrigID[Idx]
              sRow[1] = float(Numbers)
              sRow[2] = Chars
              uCur.updateRow(sRow)


              This shows how to break up a string into numbers and not numbers and put the values into a row, it should give you some ideas where to start from.





              share


























                0












                0








                0







                You're not going to be able to calculate two fields in one go.. though you can split it up into two calcs. I would do this with an update cursor:



                with arcpy.da.UpdateCursor(YourFeatureClass,['Original_ID','District','Split_ID']) as uCur:
                for sRow in uCur:
                OrigID = sRow[0].split('-')[0] # first element in the Original_ID
                charRng = range(len(OrigID)) # a range to iterate over
                Chars = ''
                Numbers = ''
                for Idx in charRng:
                if OrigID[Idx].isnumeric():
                Numbers += OrigID[Idx]
                else:
                chars += OrigID[Idx]
                sRow[1] = float(Numbers)
                sRow[2] = Chars
                uCur.updateRow(sRow)


                This shows how to break up a string into numbers and not numbers and put the values into a row, it should give you some ideas where to start from.





                share













                You're not going to be able to calculate two fields in one go.. though you can split it up into two calcs. I would do this with an update cursor:



                with arcpy.da.UpdateCursor(YourFeatureClass,['Original_ID','District','Split_ID']) as uCur:
                for sRow in uCur:
                OrigID = sRow[0].split('-')[0] # first element in the Original_ID
                charRng = range(len(OrigID)) # a range to iterate over
                Chars = ''
                Numbers = ''
                for Idx in charRng:
                if OrigID[Idx].isnumeric():
                Numbers += OrigID[Idx]
                else:
                chars += OrigID[Idx]
                sRow[1] = float(Numbers)
                sRow[2] = Chars
                uCur.updateRow(sRow)


                This shows how to break up a string into numbers and not numbers and put the values into a row, it should give you some ideas where to start from.






                share











                share


                share










                answered 32 secs ago









                Michael StimsonMichael Stimson

                21.6k22360




                21.6k22360






















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