Getting “AttributeError: 'Rolling' object has no attribute 'astype'”





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1















df = pd.DataFrame([  
[1,2,3,4,np.NaN],
[1,3,5,7,np.NaN],
[0,np.NaN,np.NaN,np.NaN,8],
[5,4,3,2,1],
[0,2,4,6,8]])

print(df)
print(df.fillna(
df.rolling(window=3,min_periods=1)
))


I'm trying to fill Null values using rolling and getting AttributeError?










share|improve this question





























    1















    df = pd.DataFrame([  
    [1,2,3,4,np.NaN],
    [1,3,5,7,np.NaN],
    [0,np.NaN,np.NaN,np.NaN,8],
    [5,4,3,2,1],
    [0,2,4,6,8]])

    print(df)
    print(df.fillna(
    df.rolling(window=3,min_periods=1)
    ))


    I'm trying to fill Null values using rolling and getting AttributeError?










    share|improve this question

























      1












      1








      1








      df = pd.DataFrame([  
      [1,2,3,4,np.NaN],
      [1,3,5,7,np.NaN],
      [0,np.NaN,np.NaN,np.NaN,8],
      [5,4,3,2,1],
      [0,2,4,6,8]])

      print(df)
      print(df.fillna(
      df.rolling(window=3,min_periods=1)
      ))


      I'm trying to fill Null values using rolling and getting AttributeError?










      share|improve this question














      df = pd.DataFrame([  
      [1,2,3,4,np.NaN],
      [1,3,5,7,np.NaN],
      [0,np.NaN,np.NaN,np.NaN,8],
      [5,4,3,2,1],
      [0,2,4,6,8]])

      print(df)
      print(df.fillna(
      df.rolling(window=3,min_periods=1)
      ))


      I'm trying to fill Null values using rolling and getting AttributeError?







      python pandas






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 24 '18 at 17:07









      Python LearnerPython Learner

      1814




      1814
























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          There is missing some aggregate function, e.g. mean, sum, ...:



          print(df.fillna(df.rolling(window=3,min_periods=1).sum()))
          0 1 2 3 4
          0 1 2.0 3.0 4.0 NaN
          1 1 3.0 5.0 7.0 NaN
          2 0 5.0 8.0 11.0 8.0
          3 5 4.0 3.0 2.0 1.0
          4 0 2.0 4.0 6.0 8.0





          share|improve this answer


























          • Thanks it worked

            – Python Learner
            Nov 24 '18 at 17:14












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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














          There is missing some aggregate function, e.g. mean, sum, ...:



          print(df.fillna(df.rolling(window=3,min_periods=1).sum()))
          0 1 2 3 4
          0 1 2.0 3.0 4.0 NaN
          1 1 3.0 5.0 7.0 NaN
          2 0 5.0 8.0 11.0 8.0
          3 5 4.0 3.0 2.0 1.0
          4 0 2.0 4.0 6.0 8.0





          share|improve this answer


























          • Thanks it worked

            – Python Learner
            Nov 24 '18 at 17:14
















          0














          There is missing some aggregate function, e.g. mean, sum, ...:



          print(df.fillna(df.rolling(window=3,min_periods=1).sum()))
          0 1 2 3 4
          0 1 2.0 3.0 4.0 NaN
          1 1 3.0 5.0 7.0 NaN
          2 0 5.0 8.0 11.0 8.0
          3 5 4.0 3.0 2.0 1.0
          4 0 2.0 4.0 6.0 8.0





          share|improve this answer


























          • Thanks it worked

            – Python Learner
            Nov 24 '18 at 17:14














          0












          0








          0







          There is missing some aggregate function, e.g. mean, sum, ...:



          print(df.fillna(df.rolling(window=3,min_periods=1).sum()))
          0 1 2 3 4
          0 1 2.0 3.0 4.0 NaN
          1 1 3.0 5.0 7.0 NaN
          2 0 5.0 8.0 11.0 8.0
          3 5 4.0 3.0 2.0 1.0
          4 0 2.0 4.0 6.0 8.0





          share|improve this answer















          There is missing some aggregate function, e.g. mean, sum, ...:



          print(df.fillna(df.rolling(window=3,min_periods=1).sum()))
          0 1 2 3 4
          0 1 2.0 3.0 4.0 NaN
          1 1 3.0 5.0 7.0 NaN
          2 0 5.0 8.0 11.0 8.0
          3 5 4.0 3.0 2.0 1.0
          4 0 2.0 4.0 6.0 8.0






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 24 '18 at 17:15

























          answered Nov 24 '18 at 17:09









          jezraeljezrael

          361k26327407




          361k26327407













          • Thanks it worked

            – Python Learner
            Nov 24 '18 at 17:14



















          • Thanks it worked

            – Python Learner
            Nov 24 '18 at 17:14

















          Thanks it worked

          – Python Learner
          Nov 24 '18 at 17:14





          Thanks it worked

          – Python Learner
          Nov 24 '18 at 17:14




















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