Numpy: How to cast string array to float while some of the elements contain extra quoted string












1















I am trying to convert string to float type by the following



X = arr[:,:-1].astype(np.float32)


However, error as below is rising



ValueError: could not convert string to float: '"53"'


I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?



UPDATE 1:
Here is an example to reproduce



import numpy as np

a = np.array([['12','13'],['"53"','44']])

a = a.astype(np.float32)





python numpy







share|improve this question




















  • 1





    It would be nice if you could provide a reproducible example.

    – Mad Physicist
    Nov 14 '18 at 5:17
















1















I am trying to convert string to float type by the following



X = arr[:,:-1].astype(np.float32)


However, error as below is rising



ValueError: could not convert string to float: '"53"'


I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?



UPDATE 1:
Here is an example to reproduce



import numpy as np

a = np.array([['12','13'],['"53"','44']])

a = a.astype(np.float32)





python numpy







share|improve this question




















  • 1





    It would be nice if you could provide a reproducible example.

    – Mad Physicist
    Nov 14 '18 at 5:17














1












1








1








I am trying to convert string to float type by the following



X = arr[:,:-1].astype(np.float32)


However, error as below is rising



ValueError: could not convert string to float: '"53"'


I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?



UPDATE 1:
Here is an example to reproduce



import numpy as np

a = np.array([['12','13'],['"53"','44']])

a = a.astype(np.float32)





python numpy







share|improve this question
















I am trying to convert string to float type by the following



X = arr[:,:-1].astype(np.float32)


However, error as below is rising



ValueError: could not convert string to float: '"53"'


I know this means I have some elements with extra quote in the array.
My problem is how should I solve this. How can I convert element '"53"' into 53 inside the array?



UPDATE 1:
Here is an example to reproduce



import numpy as np

a = np.array([['12','13'],['"53"','44']])

a = a.astype(np.float32)





python numpy




python numpy






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 15 '18 at 2:25







Jumabek Alikhanov

















asked Nov 14 '18 at 5:00









Jumabek AlikhanovJumabek Alikhanov

1,06511018




1,06511018








  • 1





    It would be nice if you could provide a reproducible example.

    – Mad Physicist
    Nov 14 '18 at 5:17














  • 1





    It would be nice if you could provide a reproducible example.

    – Mad Physicist
    Nov 14 '18 at 5:17








1




1





It would be nice if you could provide a reproducible example.

– Mad Physicist
Nov 14 '18 at 5:17





It would be nice if you could provide a reproducible example.

– Mad Physicist
Nov 14 '18 at 5:17












2 Answers
2






active

oldest

votes


















4














Try stripping the double quotes from the array, then casting to float.



Like so:



arr = np.char.strip(arr, '"')

X = arr[:,:-1].astype(np.float32)





share|improve this answer

































    1














    You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.




    Signature: np.char.replace(a, old, new, count=None)



    Docstring: For
    each element in a, return a copy of the string with all occurrences
    of substring old replaced by new. Calls str.replace element-wise.





    import numpy as np
    
a = np.array([["12","13"],['"53"',"44"]])
    

    
b = np.char.replace(a, '"', '')
    
c = b.astype(np.float32)





    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









      4














      Try stripping the double quotes from the array, then casting to float.



      Like so:



      arr = np.char.strip(arr, '"')
      
X = arr[:,:-1].astype(np.float32)





      share|improve this answer






























        4














        Try stripping the double quotes from the array, then casting to float.



        Like so:



        arr = np.char.strip(arr, '"')
        
X = arr[:,:-1].astype(np.float32)





        share|improve this answer




























          4












          4








          4







          Try stripping the double quotes from the array, then casting to float.



          Like so:



          arr = np.char.strip(arr, '"')
          
X = arr[:,:-1].astype(np.float32)





          share|improve this answer















          Try stripping the double quotes from the array, then casting to float.



          Like so:



          arr = np.char.strip(arr, '"')
          
X = arr[:,:-1].astype(np.float32)






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 14 '18 at 5:12

























          answered Nov 14 '18 at 5:07









          Riley Steele ParsonsRiley Steele Parsons

          23016




          23016

























              1














              You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.




              Signature: np.char.replace(a, old, new, count=None)



              Docstring: For
              each element in a, return a copy of the string with all occurrences
              of substring old replaced by new. Calls str.replace element-wise.





              import numpy as np
              
a = np.array([["12","13"],['"53"',"44"]])
              

              
b = np.char.replace(a, '"', '')
              
c = b.astype(np.float32)





              share|improve this answer




























                1














                You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.




                Signature: np.char.replace(a, old, new, count=None)



                Docstring: For
                each element in a, return a copy of the string with all occurrences
                of substring old replaced by new. Calls str.replace element-wise.





                import numpy as np
                
a = np.array([["12","13"],['"53"',"44"]])
                

                
b = np.char.replace(a, '"', '')
                
c = b.astype(np.float32)





                share|improve this answer


























                  1












                  1








                  1







                  You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.




                  Signature: np.char.replace(a, old, new, count=None)



                  Docstring: For
                  each element in a, return a copy of the string with all occurrences
                  of substring old replaced by new. Calls str.replace element-wise.





                  import numpy as np
                  
a = np.array([["12","13"],['"53"',"44"]])
                  

                  
b = np.char.replace(a, '"', '')
                  
c = b.astype(np.float32)





                  share|improve this answer













                  You could also use numpy.char.replace() to perform element-wise string replace on an array of strings.




                  Signature: np.char.replace(a, old, new, count=None)



                  Docstring: For
                  each element in a, return a copy of the string with all occurrences
                  of substring old replaced by new. Calls str.replace element-wise.





                  import numpy as np
                  
a = np.array([["12","13"],['"53"',"44"]])
                  

                  
b = np.char.replace(a, '"', '')
                  
c = b.astype(np.float32)






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 14 '18 at 6:02









                  NirmalNirmal

                  167111




                  167111






























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