ValueError: could not convert string to float: '[0.0267469, 0.0272395, 0.0268747]'











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0
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I try a code like this:



import pandas as pd
import numpy as np
test_data='train.csv'
csv_reader = pd.read_csv(test_data)
x_list = csv_reader[['spectra']]
x_list = np.array(x_list)
x = [float(o) for o in x_list[0]]
y_list = csv_reader[['molecule']]


and then I get this:



Traceback (most recent call last):
File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <module>
x = [float(o) for o in x_list[0]]
File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <listcomp>
x = [float(o) for o in x_list[0]]
ValueError: could not convert string to float: '[0.0267469, 0.0272395,
0.0268747, 0.0267555]'


this is the data's picture:
enter image description here



how i can save it?










share|improve this question


























    up vote
    0
    down vote

    favorite












    I try a code like this:



    import pandas as pd
    import numpy as np
    test_data='train.csv'
    csv_reader = pd.read_csv(test_data)
    x_list = csv_reader[['spectra']]
    x_list = np.array(x_list)
    x = [float(o) for o in x_list[0]]
    y_list = csv_reader[['molecule']]


    and then I get this:



    Traceback (most recent call last):
    File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <module>
    x = [float(o) for o in x_list[0]]
    File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <listcomp>
    x = [float(o) for o in x_list[0]]
    ValueError: could not convert string to float: '[0.0267469, 0.0272395,
    0.0268747, 0.0267555]'


    this is the data's picture:
    enter image description here



    how i can save it?










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I try a code like this:



      import pandas as pd
      import numpy as np
      test_data='train.csv'
      csv_reader = pd.read_csv(test_data)
      x_list = csv_reader[['spectra']]
      x_list = np.array(x_list)
      x = [float(o) for o in x_list[0]]
      y_list = csv_reader[['molecule']]


      and then I get this:



      Traceback (most recent call last):
      File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <module>
      x = [float(o) for o in x_list[0]]
      File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <listcomp>
      x = [float(o) for o in x_list[0]]
      ValueError: could not convert string to float: '[0.0267469, 0.0272395,
      0.0268747, 0.0267555]'


      this is the data's picture:
      enter image description here



      how i can save it?










      share|improve this question













      I try a code like this:



      import pandas as pd
      import numpy as np
      test_data='train.csv'
      csv_reader = pd.read_csv(test_data)
      x_list = csv_reader[['spectra']]
      x_list = np.array(x_list)
      x = [float(o) for o in x_list[0]]
      y_list = csv_reader[['molecule']]


      and then I get this:



      Traceback (most recent call last):
      File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <module>
      x = [float(o) for o in x_list[0]]
      File "D:/Users/11825/source/repos/deep/shiyishi.py", line 16, in <listcomp>
      x = [float(o) for o in x_list[0]]
      ValueError: could not convert string to float: '[0.0267469, 0.0272395,
      0.0268747, 0.0267555]'


      this is the data's picture:
      enter image description here



      how i can save it?







      python arrays






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 22 at 2:09









      Neal

      12




      12
























          1 Answer
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          1
          down vote













          The lists stored in column spectra are actually stored as string after you save and load the dataframe.



          Try this right after you do read_csv:



          import ast
          csv_reader['spectra'].apply(ast.literal_eval)
          csv_reader['molecule'].apply(ast.literal_eval)





          share|improve this answer





















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            active

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            up vote
            1
            down vote













            The lists stored in column spectra are actually stored as string after you save and load the dataframe.



            Try this right after you do read_csv:



            import ast
            csv_reader['spectra'].apply(ast.literal_eval)
            csv_reader['molecule'].apply(ast.literal_eval)





            share|improve this answer

























              up vote
              1
              down vote













              The lists stored in column spectra are actually stored as string after you save and load the dataframe.



              Try this right after you do read_csv:



              import ast
              csv_reader['spectra'].apply(ast.literal_eval)
              csv_reader['molecule'].apply(ast.literal_eval)





              share|improve this answer























                up vote
                1
                down vote










                up vote
                1
                down vote









                The lists stored in column spectra are actually stored as string after you save and load the dataframe.



                Try this right after you do read_csv:



                import ast
                csv_reader['spectra'].apply(ast.literal_eval)
                csv_reader['molecule'].apply(ast.literal_eval)





                share|improve this answer












                The lists stored in column spectra are actually stored as string after you save and load the dataframe.



                Try this right after you do read_csv:



                import ast
                csv_reader['spectra'].apply(ast.literal_eval)
                csv_reader['molecule'].apply(ast.literal_eval)






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 22 at 2:14









                Eric Wang

                32518




                32518






























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