Compare if one tuple is greater when mixing `str` and `None` types in Python





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I have two lists of tuples that have a mix of str and None types and need to compare them considering None to be greater.



a = tuple([None, 4])
b = tuple(['pencil', 12])

a > b


Results in:




TypeError: '>' not supported between instances of 'NoneType' and 'str'




How can I compare these items without getting that error?










share|improve this question





























    1















    I have two lists of tuples that have a mix of str and None types and need to compare them considering None to be greater.



    a = tuple([None, 4])
    b = tuple(['pencil', 12])

    a > b


    Results in:




    TypeError: '>' not supported between instances of 'NoneType' and 'str'




    How can I compare these items without getting that error?










    share|improve this question

























      1












      1








      1








      I have two lists of tuples that have a mix of str and None types and need to compare them considering None to be greater.



      a = tuple([None, 4])
      b = tuple(['pencil', 12])

      a > b


      Results in:




      TypeError: '>' not supported between instances of 'NoneType' and 'str'




      How can I compare these items without getting that error?










      share|improve this question














      I have two lists of tuples that have a mix of str and None types and need to compare them considering None to be greater.



      a = tuple([None, 4])
      b = tuple(['pencil', 12])

      a > b


      Results in:




      TypeError: '>' not supported between instances of 'NoneType' and 'str'




      How can I compare these items without getting that error?







      python tuples comparison






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 16 '18 at 16:56









      ZevZev

      2,25111227




      2,25111227
























          2 Answers
          2






          active

          oldest

          votes


















          1














          You can also subclass tuple and create your own tuple class with the __lt__ and __gt__ methods appropriately implemented:



          class MyTuple(tuple):
          def __lt__(self, other):
          for s, o in zip(self, other):
          if s == o:
          continue
          if s is None:
          return False
          if o is None:
          return True
          return super().__lt__(other)

          def __gt__(self, other):
          return not self.__lt__(other)


          a = MyTuple([None, 4])
          b = MyTuple(['pencil', 12])

          print(a < b) # False
          print(a > b) # True





          share|improve this answer



















          • 1





            Gotcha, I like that use of super to fall back on.

            – Zev
            Nov 16 '18 at 18:10











          • My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

            – Zev
            Nov 16 '18 at 18:16






          • 1





            That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

            – slider
            Nov 16 '18 at 18:20






          • 1





            Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

            – Zev
            Nov 16 '18 at 18:24



















          0














          You can replace item > item2 with a function like this:



          def compare_tuples(item1, item2):
          try:
          return item1 > item2
          # if they can be compared, just do so directly
          except TypeError:
          for field1, field2 in zip(item1, item2):
          # otherwise go through the fields in the tuples
          # and compare them checking if they are none
          if field1 == field2:
          continue
          if field1 is None:
          return True
          if field2 is None:
          return False





          share|improve this answer
























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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            You can also subclass tuple and create your own tuple class with the __lt__ and __gt__ methods appropriately implemented:



            class MyTuple(tuple):
            def __lt__(self, other):
            for s, o in zip(self, other):
            if s == o:
            continue
            if s is None:
            return False
            if o is None:
            return True
            return super().__lt__(other)

            def __gt__(self, other):
            return not self.__lt__(other)


            a = MyTuple([None, 4])
            b = MyTuple(['pencil', 12])

            print(a < b) # False
            print(a > b) # True





            share|improve this answer



















            • 1





              Gotcha, I like that use of super to fall back on.

              – Zev
              Nov 16 '18 at 18:10











            • My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

              – Zev
              Nov 16 '18 at 18:16






            • 1





              That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

              – slider
              Nov 16 '18 at 18:20






            • 1





              Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

              – Zev
              Nov 16 '18 at 18:24
















            1














            You can also subclass tuple and create your own tuple class with the __lt__ and __gt__ methods appropriately implemented:



            class MyTuple(tuple):
            def __lt__(self, other):
            for s, o in zip(self, other):
            if s == o:
            continue
            if s is None:
            return False
            if o is None:
            return True
            return super().__lt__(other)

            def __gt__(self, other):
            return not self.__lt__(other)


            a = MyTuple([None, 4])
            b = MyTuple(['pencil', 12])

            print(a < b) # False
            print(a > b) # True





            share|improve this answer



















            • 1





              Gotcha, I like that use of super to fall back on.

              – Zev
              Nov 16 '18 at 18:10











            • My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

              – Zev
              Nov 16 '18 at 18:16






            • 1





              That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

              – slider
              Nov 16 '18 at 18:20






            • 1





              Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

              – Zev
              Nov 16 '18 at 18:24














            1












            1








            1







            You can also subclass tuple and create your own tuple class with the __lt__ and __gt__ methods appropriately implemented:



            class MyTuple(tuple):
            def __lt__(self, other):
            for s, o in zip(self, other):
            if s == o:
            continue
            if s is None:
            return False
            if o is None:
            return True
            return super().__lt__(other)

            def __gt__(self, other):
            return not self.__lt__(other)


            a = MyTuple([None, 4])
            b = MyTuple(['pencil', 12])

            print(a < b) # False
            print(a > b) # True





            share|improve this answer













            You can also subclass tuple and create your own tuple class with the __lt__ and __gt__ methods appropriately implemented:



            class MyTuple(tuple):
            def __lt__(self, other):
            for s, o in zip(self, other):
            if s == o:
            continue
            if s is None:
            return False
            if o is None:
            return True
            return super().__lt__(other)

            def __gt__(self, other):
            return not self.__lt__(other)


            a = MyTuple([None, 4])
            b = MyTuple(['pencil', 12])

            print(a < b) # False
            print(a > b) # True






            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 16 '18 at 17:29









            sliderslider

            8,56811331




            8,56811331








            • 1





              Gotcha, I like that use of super to fall back on.

              – Zev
              Nov 16 '18 at 18:10











            • My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

              – Zev
              Nov 16 '18 at 18:16






            • 1





              That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

              – slider
              Nov 16 '18 at 18:20






            • 1





              Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

              – Zev
              Nov 16 '18 at 18:24














            • 1





              Gotcha, I like that use of super to fall back on.

              – Zev
              Nov 16 '18 at 18:10











            • My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

              – Zev
              Nov 16 '18 at 18:16






            • 1





              That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

              – slider
              Nov 16 '18 at 18:20






            • 1





              Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

              – Zev
              Nov 16 '18 at 18:24








            1




            1





            Gotcha, I like that use of super to fall back on.

            – Zev
            Nov 16 '18 at 18:10





            Gotcha, I like that use of super to fall back on.

            – Zev
            Nov 16 '18 at 18:10













            My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

            – Zev
            Nov 16 '18 at 18:16





            My only question with doing it this way is that I think it'd loop through the tuple an extra time when there isn't a None value.

            – Zev
            Nov 16 '18 at 18:16




            1




            1





            That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

            – slider
            Nov 16 '18 at 18:20





            That is correct. However, you're doing the same thing in your approach as well (item1 > item2 in the try block) for the case where there is a None present.

            – slider
            Nov 16 '18 at 18:20




            1




            1





            Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

            – Zev
            Nov 16 '18 at 18:24





            Good point! It depends on the use case (whether None is likely to be present). I think I'll end up putting the return super().__lt__(other) in a try-except block for my use case.

            – Zev
            Nov 16 '18 at 18:24













            0














            You can replace item > item2 with a function like this:



            def compare_tuples(item1, item2):
            try:
            return item1 > item2
            # if they can be compared, just do so directly
            except TypeError:
            for field1, field2 in zip(item1, item2):
            # otherwise go through the fields in the tuples
            # and compare them checking if they are none
            if field1 == field2:
            continue
            if field1 is None:
            return True
            if field2 is None:
            return False





            share|improve this answer




























              0














              You can replace item > item2 with a function like this:



              def compare_tuples(item1, item2):
              try:
              return item1 > item2
              # if they can be compared, just do so directly
              except TypeError:
              for field1, field2 in zip(item1, item2):
              # otherwise go through the fields in the tuples
              # and compare them checking if they are none
              if field1 == field2:
              continue
              if field1 is None:
              return True
              if field2 is None:
              return False





              share|improve this answer


























                0












                0








                0







                You can replace item > item2 with a function like this:



                def compare_tuples(item1, item2):
                try:
                return item1 > item2
                # if they can be compared, just do so directly
                except TypeError:
                for field1, field2 in zip(item1, item2):
                # otherwise go through the fields in the tuples
                # and compare them checking if they are none
                if field1 == field2:
                continue
                if field1 is None:
                return True
                if field2 is None:
                return False





                share|improve this answer













                You can replace item > item2 with a function like this:



                def compare_tuples(item1, item2):
                try:
                return item1 > item2
                # if they can be compared, just do so directly
                except TypeError:
                for field1, field2 in zip(item1, item2):
                # otherwise go through the fields in the tuples
                # and compare them checking if they are none
                if field1 == field2:
                continue
                if field1 is None:
                return True
                if field2 is None:
                return False






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 16 '18 at 16:56









                ZevZev

                2,25111227




                2,25111227






























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