How to read a CSV Column with space in name using panda library in python









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So lets say I have a column in my csv file named "how are you"
how can I read the contents of this column?
Right now I am changing the column name in csv file and running this, it works but how can I do it without changing anything in the csv file?



df1 = pd.read_csv('file.csv')
x = df1.howareyou









share|improve this question

























    up vote
    2
    down vote

    favorite












    So lets say I have a column in my csv file named "how are you"
    how can I read the contents of this column?
    Right now I am changing the column name in csv file and running this, it works but how can I do it without changing anything in the csv file?



    df1 = pd.read_csv('file.csv')
    x = df1.howareyou









    share|improve this question























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      So lets say I have a column in my csv file named "how are you"
      how can I read the contents of this column?
      Right now I am changing the column name in csv file and running this, it works but how can I do it without changing anything in the csv file?



      df1 = pd.read_csv('file.csv')
      x = df1.howareyou









      share|improve this question













      So lets say I have a column in my csv file named "how are you"
      how can I read the contents of this column?
      Right now I am changing the column name in csv file and running this, it works but how can I do it without changing anything in the csv file?



      df1 = pd.read_csv('file.csv')
      x = df1.howareyou






      python pandas csv






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 10 at 1:35









      ech0

      175




      175






















          1 Answer
          1






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          up vote
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          down vote



          accepted










          You can access a column like this :

          x = df1["how are you"]






          share|improve this answer




















          • @ech0 glad it helped ! Have a nice day.
            – samutamm
            Nov 10 at 1:57










          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          You can access a column like this :

          x = df1["how are you"]






          share|improve this answer




















          • @ech0 glad it helped ! Have a nice day.
            – samutamm
            Nov 10 at 1:57














          up vote
          1
          down vote



          accepted










          You can access a column like this :

          x = df1["how are you"]






          share|improve this answer




















          • @ech0 glad it helped ! Have a nice day.
            – samutamm
            Nov 10 at 1:57












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          You can access a column like this :

          x = df1["how are you"]






          share|improve this answer












          You can access a column like this :

          x = df1["how are you"]







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 10 at 1:41









          samutamm

          55511018




          55511018











          • @ech0 glad it helped ! Have a nice day.
            – samutamm
            Nov 10 at 1:57
















          • @ech0 glad it helped ! Have a nice day.
            – samutamm
            Nov 10 at 1:57















          @ech0 glad it helped ! Have a nice day.
          – samutamm
          Nov 10 at 1:57




          @ech0 glad it helped ! Have a nice day.
          – samutamm
          Nov 10 at 1:57

















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