Replace values with nan in python











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I have to set the values of the first 3 rows of dataset in column "alcohol" as NaN



newdf=pd.DataFrame({'alcohol':[np.nan]},index=[0,1,2])
wine.update(newdf)
wine


After running the code, no error is coming and dataframe is also not updated










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  • 3




    what is wine here?
    – Sociopath
    Nov 20 at 6:11















up vote
0
down vote

favorite












I have to set the values of the first 3 rows of dataset in column "alcohol" as NaN



newdf=pd.DataFrame({'alcohol':[np.nan]},index=[0,1,2])
wine.update(newdf)
wine


After running the code, no error is coming and dataframe is also not updated










share|improve this question




















  • 3




    what is wine here?
    – Sociopath
    Nov 20 at 6:11













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have to set the values of the first 3 rows of dataset in column "alcohol" as NaN



newdf=pd.DataFrame({'alcohol':[np.nan]},index=[0,1,2])
wine.update(newdf)
wine


After running the code, no error is coming and dataframe is also not updated










share|improve this question















I have to set the values of the first 3 rows of dataset in column "alcohol" as NaN



newdf=pd.DataFrame({'alcohol':[np.nan]},index=[0,1,2])
wine.update(newdf)
wine


After running the code, no error is coming and dataframe is also not updated







python python-3.x pandas nan






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edited Nov 20 at 6:20









Mohit Motwani

8731320




8731320










asked Nov 20 at 6:08









Divya Singhal

1




1








  • 3




    what is wine here?
    – Sociopath
    Nov 20 at 6:11














  • 3




    what is wine here?
    – Sociopath
    Nov 20 at 6:11








3




3




what is wine here?
– Sociopath
Nov 20 at 6:11




what is wine here?
– Sociopath
Nov 20 at 6:11












2 Answers
2






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0
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Assuming alcohol as column.



df.loc[:2, "alcohol"] = np.nan

#alternative
df.alcohol.iloc[:3] = np.nan





share|improve this answer






























    up vote
    0
    down vote













    Use iloc with get_loc for position for column alcohol:



    wine.iloc[:3, wine.columns.get_loc('alcohol')] = np.nan


    Or use loc with first values of index:



    wine.loc[wine.index[:3], 'alcohol'] = np.nan





    share|improve this answer























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      2 Answers
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      2 Answers
      2






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      up vote
      0
      down vote













      Assuming alcohol as column.



      df.loc[:2, "alcohol"] = np.nan

      #alternative
      df.alcohol.iloc[:3] = np.nan





      share|improve this answer



























        up vote
        0
        down vote













        Assuming alcohol as column.



        df.loc[:2, "alcohol"] = np.nan

        #alternative
        df.alcohol.iloc[:3] = np.nan





        share|improve this answer

























          up vote
          0
          down vote










          up vote
          0
          down vote









          Assuming alcohol as column.



          df.loc[:2, "alcohol"] = np.nan

          #alternative
          df.alcohol.iloc[:3] = np.nan





          share|improve this answer














          Assuming alcohol as column.



          df.loc[:2, "alcohol"] = np.nan

          #alternative
          df.alcohol.iloc[:3] = np.nan






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 20 at 6:35

























          answered Nov 20 at 6:13









          Srce Cde

          1,136411




          1,136411
























              up vote
              0
              down vote













              Use iloc with get_loc for position for column alcohol:



              wine.iloc[:3, wine.columns.get_loc('alcohol')] = np.nan


              Or use loc with first values of index:



              wine.loc[wine.index[:3], 'alcohol'] = np.nan





              share|improve this answer



























                up vote
                0
                down vote













                Use iloc with get_loc for position for column alcohol:



                wine.iloc[:3, wine.columns.get_loc('alcohol')] = np.nan


                Or use loc with first values of index:



                wine.loc[wine.index[:3], 'alcohol'] = np.nan





                share|improve this answer

























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  Use iloc with get_loc for position for column alcohol:



                  wine.iloc[:3, wine.columns.get_loc('alcohol')] = np.nan


                  Or use loc with first values of index:



                  wine.loc[wine.index[:3], 'alcohol'] = np.nan





                  share|improve this answer














                  Use iloc with get_loc for position for column alcohol:



                  wine.iloc[:3, wine.columns.get_loc('alcohol')] = np.nan


                  Or use loc with first values of index:



                  wine.loc[wine.index[:3], 'alcohol'] = np.nan






                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Nov 20 at 7:14

























                  answered Nov 20 at 6:23









                  jezrael

                  317k22257336




                  317k22257336






























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