Data type added as string when creating variable …array([0., 0., 0., …, 0., 0., 0.], dtype=float32)












0















When I change my array data type, using .astype() or by adding to np.array(list,dtype=), I get an array which has a string attached. Why is this happening? (example below)



In [1]: A=[1,2,3]

In [2]: A=np.array(A,np.float32)

In [3]: A.dtype
Out[3]: dtype('float32')

In [4]: A
Out[4]: array([1., 2., 3.], dtype=float32)

In [5]: AA=[3,4,5]

In [6]: AA=np.array(AA)

In [7]: AA
Out[7]: array([3, 4, 5])

In [8]: AA.dtype
Out[8]: dtype('int32')

In [9]: AA.astype(np.float32())
Out[9]: array([3., 4., 5.], dtype=float32)









share|improve this question





























    0















    When I change my array data type, using .astype() or by adding to np.array(list,dtype=), I get an array which has a string attached. Why is this happening? (example below)



    In [1]: A=[1,2,3]

    In [2]: A=np.array(A,np.float32)

    In [3]: A.dtype
    Out[3]: dtype('float32')

    In [4]: A
    Out[4]: array([1., 2., 3.], dtype=float32)

    In [5]: AA=[3,4,5]

    In [6]: AA=np.array(AA)

    In [7]: AA
    Out[7]: array([3, 4, 5])

    In [8]: AA.dtype
    Out[8]: dtype('int32')

    In [9]: AA.astype(np.float32())
    Out[9]: array([3., 4., 5.], dtype=float32)









    share|improve this question



























      0












      0








      0








      When I change my array data type, using .astype() or by adding to np.array(list,dtype=), I get an array which has a string attached. Why is this happening? (example below)



      In [1]: A=[1,2,3]

      In [2]: A=np.array(A,np.float32)

      In [3]: A.dtype
      Out[3]: dtype('float32')

      In [4]: A
      Out[4]: array([1., 2., 3.], dtype=float32)

      In [5]: AA=[3,4,5]

      In [6]: AA=np.array(AA)

      In [7]: AA
      Out[7]: array([3, 4, 5])

      In [8]: AA.dtype
      Out[8]: dtype('int32')

      In [9]: AA.astype(np.float32())
      Out[9]: array([3., 4., 5.], dtype=float32)









      share|improve this question
















      When I change my array data type, using .astype() or by adding to np.array(list,dtype=), I get an array which has a string attached. Why is this happening? (example below)



      In [1]: A=[1,2,3]

      In [2]: A=np.array(A,np.float32)

      In [3]: A.dtype
      Out[3]: dtype('float32')

      In [4]: A
      Out[4]: array([1., 2., 3.], dtype=float32)

      In [5]: AA=[3,4,5]

      In [6]: AA=np.array(AA)

      In [7]: AA
      Out[7]: array([3, 4, 5])

      In [8]: AA.dtype
      Out[8]: dtype('int32')

      In [9]: AA.astype(np.float32())
      Out[9]: array([3., 4., 5.], dtype=float32)






      python






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      edited Nov 14 '18 at 15:24









      Banghua Zhao

      1,2851719




      1,2851719










      asked Nov 14 '18 at 15:18









      AJC123AJC123

      63




      63
























          2 Answers
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          0














          This is not a string: dtype('float32'). It's just one way of representing the dtype for a 32bits float.



          If you had strings in your array, you would see:



          dtype('S1')


          or:



          dtype('object')





          share|improve this answer































            1














            You're converting your types correctly and the , dtype=float32 attached to your array is not an attached string but just the data type that's displayed in the representation of a Numpy array.



            If you do



            print(AA)


            you will only see your array without any strings following.






            share|improve this answer
























            • Why does this only show up for some arrays then?

              – AJC123
              Nov 14 '18 at 15:39











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            2 Answers
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            2 Answers
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            active

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            active

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            active

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            0














            This is not a string: dtype('float32'). It's just one way of representing the dtype for a 32bits float.



            If you had strings in your array, you would see:



            dtype('S1')


            or:



            dtype('object')





            share|improve this answer




























              0














              This is not a string: dtype('float32'). It's just one way of representing the dtype for a 32bits float.



              If you had strings in your array, you would see:



              dtype('S1')


              or:



              dtype('object')





              share|improve this answer


























                0












                0








                0







                This is not a string: dtype('float32'). It's just one way of representing the dtype for a 32bits float.



                If you had strings in your array, you would see:



                dtype('S1')


                or:



                dtype('object')





                share|improve this answer













                This is not a string: dtype('float32'). It's just one way of representing the dtype for a 32bits float.



                If you had strings in your array, you would see:



                dtype('S1')


                or:



                dtype('object')






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 14 '18 at 15:25









                Matthieu BrucherMatthieu Brucher

                15.8k32141




                15.8k32141

























                    1














                    You're converting your types correctly and the , dtype=float32 attached to your array is not an attached string but just the data type that's displayed in the representation of a Numpy array.



                    If you do



                    print(AA)


                    you will only see your array without any strings following.






                    share|improve this answer
























                    • Why does this only show up for some arrays then?

                      – AJC123
                      Nov 14 '18 at 15:39
















                    1














                    You're converting your types correctly and the , dtype=float32 attached to your array is not an attached string but just the data type that's displayed in the representation of a Numpy array.



                    If you do



                    print(AA)


                    you will only see your array without any strings following.






                    share|improve this answer
























                    • Why does this only show up for some arrays then?

                      – AJC123
                      Nov 14 '18 at 15:39














                    1












                    1








                    1







                    You're converting your types correctly and the , dtype=float32 attached to your array is not an attached string but just the data type that's displayed in the representation of a Numpy array.



                    If you do



                    print(AA)


                    you will only see your array without any strings following.






                    share|improve this answer













                    You're converting your types correctly and the , dtype=float32 attached to your array is not an attached string but just the data type that's displayed in the representation of a Numpy array.



                    If you do



                    print(AA)


                    you will only see your array without any strings following.







                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Nov 14 '18 at 15:24









                    Tadej MagajnaTadej Magajna

                    1,1201332




                    1,1201332













                    • Why does this only show up for some arrays then?

                      – AJC123
                      Nov 14 '18 at 15:39



















                    • Why does this only show up for some arrays then?

                      – AJC123
                      Nov 14 '18 at 15:39

















                    Why does this only show up for some arrays then?

                    – AJC123
                    Nov 14 '18 at 15:39





                    Why does this only show up for some arrays then?

                    – AJC123
                    Nov 14 '18 at 15:39


















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