How can I add two of my columns in my data frame to an np.array












0















I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:



df = pd.read_csv('data.txt')
df.drop(['id'], 1, inplace=True)

#print(df)
x = np.array(df.drop(['S', 'T'], axis=1))
y = np.array(df(['S', 'T']))









share|improve this question





























    0















    I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:



    df = pd.read_csv('data.txt')
    df.drop(['id'], 1, inplace=True)

    #print(df)
    x = np.array(df.drop(['S', 'T'], axis=1))
    y = np.array(df(['S', 'T']))









    share|improve this question



























      0












      0








      0








      I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:



      df = pd.read_csv('data.txt')
      df.drop(['id'], 1, inplace=True)

      #print(df)
      x = np.array(df.drop(['S', 'T'], axis=1))
      y = np.array(df(['S', 'T']))









      share|improve this question
















      I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:



      df = pd.read_csv('data.txt')
      df.drop(['id'], 1, inplace=True)

      #print(df)
      x = np.array(df.drop(['S', 'T'], axis=1))
      y = np.array(df(['S', 'T']))






      python pandas numpy dataframe






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      share|improve this question













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      share|improve this question








      edited Nov 22 '18 at 2:25









      jpp

      102k2165116




      102k2165116










      asked Nov 22 '18 at 2:19









      RedemptionRedemption

      102




      102
























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          The error is correct. A pd.DataFrame object is not callable. Use pd.DataFrame.__getitem__ or its syntactic sugar with a list of series:



          y = np.array(df[['S', 'T']])


          Or, better, use pd.DataFrame.values:



          y = df[['S', 'T']].values





          share|improve this answer
























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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            The error is correct. A pd.DataFrame object is not callable. Use pd.DataFrame.__getitem__ or its syntactic sugar with a list of series:



            y = np.array(df[['S', 'T']])


            Or, better, use pd.DataFrame.values:



            y = df[['S', 'T']].values





            share|improve this answer




























              0














              The error is correct. A pd.DataFrame object is not callable. Use pd.DataFrame.__getitem__ or its syntactic sugar with a list of series:



              y = np.array(df[['S', 'T']])


              Or, better, use pd.DataFrame.values:



              y = df[['S', 'T']].values





              share|improve this answer


























                0












                0








                0







                The error is correct. A pd.DataFrame object is not callable. Use pd.DataFrame.__getitem__ or its syntactic sugar with a list of series:



                y = np.array(df[['S', 'T']])


                Or, better, use pd.DataFrame.values:



                y = df[['S', 'T']].values





                share|improve this answer













                The error is correct. A pd.DataFrame object is not callable. Use pd.DataFrame.__getitem__ or its syntactic sugar with a list of series:



                y = np.array(df[['S', 'T']])


                Or, better, use pd.DataFrame.values:



                y = df[['S', 'T']].values






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 22 '18 at 2:24









                jppjpp

                102k2165116




                102k2165116
































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