Python - Access NumPy Array Item












0















I am using Python for the first time in a long time and am slightly lost. I have a numPy array that looks like this when I print it..



   [[148 362]
[153 403]
[163 443]
[172 483]
[186 521]
[210 553]
[239 581]
[273 604]
[314 611]
[353 602]]


I am trying to get the 5 item from the array and save it as 2 variables, x and y.



I have tried accessing it using...



print("Item 5" + numpy_array[5])


But that is giving me an error



typeError: ufunc 'add' did not contain a loop with signature matching types dtype('S21') dtype('S21') dtype('S21')


Can anyone help?










share|improve this question



























    0















    I am using Python for the first time in a long time and am slightly lost. I have a numPy array that looks like this when I print it..



       [[148 362]
    [153 403]
    [163 443]
    [172 483]
    [186 521]
    [210 553]
    [239 581]
    [273 604]
    [314 611]
    [353 602]]


    I am trying to get the 5 item from the array and save it as 2 variables, x and y.



    I have tried accessing it using...



    print("Item 5" + numpy_array[5])


    But that is giving me an error



    typeError: ufunc 'add' did not contain a loop with signature matching types dtype('S21') dtype('S21') dtype('S21')


    Can anyone help?










    share|improve this question

























      0












      0








      0








      I am using Python for the first time in a long time and am slightly lost. I have a numPy array that looks like this when I print it..



         [[148 362]
      [153 403]
      [163 443]
      [172 483]
      [186 521]
      [210 553]
      [239 581]
      [273 604]
      [314 611]
      [353 602]]


      I am trying to get the 5 item from the array and save it as 2 variables, x and y.



      I have tried accessing it using...



      print("Item 5" + numpy_array[5])


      But that is giving me an error



      typeError: ufunc 'add' did not contain a loop with signature matching types dtype('S21') dtype('S21') dtype('S21')


      Can anyone help?










      share|improve this question














      I am using Python for the first time in a long time and am slightly lost. I have a numPy array that looks like this when I print it..



         [[148 362]
      [153 403]
      [163 443]
      [172 483]
      [186 521]
      [210 553]
      [239 581]
      [273 604]
      [314 611]
      [353 602]]


      I am trying to get the 5 item from the array and save it as 2 variables, x and y.



      I have tried accessing it using...



      print("Item 5" + numpy_array[5])


      But that is giving me an error



      typeError: ufunc 'add' did not contain a loop with signature matching types dtype('S21') dtype('S21') dtype('S21')


      Can anyone help?







      python numpy






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 19 at 15:59









      fightstarr20fightstarr20

      2,8581153111




      2,8581153111
























          2 Answers
          2






          active

          oldest

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          0














          These are other examples:



          print("Item 5: " + str(numpy_array[5]) ) #=> Item 5: [210 553]

          print("Item 5: ", numpy_array[5][0], numpy_array[5][1] ) #=> Item 5: 210 553

          print("Item 5: ", numpy_array[5][0], "-" , numpy_array[5][1] ) #=> Item 5: 210 553

          print (f"Item 5: {numpy_array[5][0]}, {numpy_array[5][1]}" ) #=> Item 5: 210, 553





          share|improve this answer
























          • Thanks for those, lots of different options,

            – fightstarr20
            Jan 19 at 19:50



















          1














          Suppose your array is stored in variable called numpy_array, just do. Since your subarrays contains 2 elements, it will unpack the values into x and y



          x, y = numpy_array[5]
          print (x, y)
          # (210, 553)





          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









            0














            These are other examples:



            print("Item 5: " + str(numpy_array[5]) ) #=> Item 5: [210 553]

            print("Item 5: ", numpy_array[5][0], numpy_array[5][1] ) #=> Item 5: 210 553

            print("Item 5: ", numpy_array[5][0], "-" , numpy_array[5][1] ) #=> Item 5: 210 553

            print (f"Item 5: {numpy_array[5][0]}, {numpy_array[5][1]}" ) #=> Item 5: 210, 553





            share|improve this answer
























            • Thanks for those, lots of different options,

              – fightstarr20
              Jan 19 at 19:50
















            0














            These are other examples:



            print("Item 5: " + str(numpy_array[5]) ) #=> Item 5: [210 553]

            print("Item 5: ", numpy_array[5][0], numpy_array[5][1] ) #=> Item 5: 210 553

            print("Item 5: ", numpy_array[5][0], "-" , numpy_array[5][1] ) #=> Item 5: 210 553

            print (f"Item 5: {numpy_array[5][0]}, {numpy_array[5][1]}" ) #=> Item 5: 210, 553





            share|improve this answer
























            • Thanks for those, lots of different options,

              – fightstarr20
              Jan 19 at 19:50














            0












            0








            0







            These are other examples:



            print("Item 5: " + str(numpy_array[5]) ) #=> Item 5: [210 553]

            print("Item 5: ", numpy_array[5][0], numpy_array[5][1] ) #=> Item 5: 210 553

            print("Item 5: ", numpy_array[5][0], "-" , numpy_array[5][1] ) #=> Item 5: 210 553

            print (f"Item 5: {numpy_array[5][0]}, {numpy_array[5][1]}" ) #=> Item 5: 210, 553





            share|improve this answer













            These are other examples:



            print("Item 5: " + str(numpy_array[5]) ) #=> Item 5: [210 553]

            print("Item 5: ", numpy_array[5][0], numpy_array[5][1] ) #=> Item 5: 210 553

            print("Item 5: ", numpy_array[5][0], "-" , numpy_array[5][1] ) #=> Item 5: 210 553

            print (f"Item 5: {numpy_array[5][0]}, {numpy_array[5][1]}" ) #=> Item 5: 210, 553






            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Jan 19 at 16:21









            iGianiGian

            3,9182623




            3,9182623













            • Thanks for those, lots of different options,

              – fightstarr20
              Jan 19 at 19:50



















            • Thanks for those, lots of different options,

              – fightstarr20
              Jan 19 at 19:50

















            Thanks for those, lots of different options,

            – fightstarr20
            Jan 19 at 19:50





            Thanks for those, lots of different options,

            – fightstarr20
            Jan 19 at 19:50













            1














            Suppose your array is stored in variable called numpy_array, just do. Since your subarrays contains 2 elements, it will unpack the values into x and y



            x, y = numpy_array[5]
            print (x, y)
            # (210, 553)





            share|improve this answer




























              1














              Suppose your array is stored in variable called numpy_array, just do. Since your subarrays contains 2 elements, it will unpack the values into x and y



              x, y = numpy_array[5]
              print (x, y)
              # (210, 553)





              share|improve this answer


























                1












                1








                1







                Suppose your array is stored in variable called numpy_array, just do. Since your subarrays contains 2 elements, it will unpack the values into x and y



                x, y = numpy_array[5]
                print (x, y)
                # (210, 553)





                share|improve this answer













                Suppose your array is stored in variable called numpy_array, just do. Since your subarrays contains 2 elements, it will unpack the values into x and y



                x, y = numpy_array[5]
                print (x, y)
                # (210, 553)






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 19 at 16:01









                BazingaaBazingaa

                14.8k21227




                14.8k21227






























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