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Padas rolling.mean() showing different results



Announcing the arrival of Valued Associate #679: Cesar Manara
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0















I am very new to python and I have two methods in my program Main and CommonFunctions.



From Main, I call a function name tech under CommonFunctions



@staticmethod
def tech(df, ACslow_period = None, ACfast_period = None):
slow = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACslow_period).mean())
fast = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACfast_period).mean())
df[40] = pd.Series(fast - slow)
df[41] = pd.Series(((df[40])).rolling(ACfast_period).mean())
df[52] = (pd.Series(df[40] - df[41])))

return (df)


When I test the formula directly from the file, the result is :



self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

40 41 52
0.000000109858 0.000000063136 0.000000046722
0.000000111809 0.000000064952 0.000000046857
0.000000113985 0.000000066986 0.000000046999


But When I run my program result is:



self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

40 41 52
-0.000000109858 0.000000000000 0.000000000000
-0.000000111809 0.000000000000 0.000000000000
-0.000000113985 0.000000000000 0.000000000000


using the following data:



file = https://pastebin.com/raw/WtBu2zh2



  • Python 3.5.2

  • Pandas 0.23.4

  • Ubuntu 16.04

Any idea why the result will be different?



Thank you in advance !










share|improve this question






























    0















    I am very new to python and I have two methods in my program Main and CommonFunctions.



    From Main, I call a function name tech under CommonFunctions



    @staticmethod
    def tech(df, ACslow_period = None, ACfast_period = None):
    slow = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACslow_period).mean())
    fast = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACfast_period).mean())
    df[40] = pd.Series(fast - slow)
    df[41] = pd.Series(((df[40])).rolling(ACfast_period).mean())
    df[52] = (pd.Series(df[40] - df[41])))

    return (df)


    When I test the formula directly from the file, the result is :



    self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

    40 41 52
    0.000000109858 0.000000063136 0.000000046722
    0.000000111809 0.000000064952 0.000000046857
    0.000000113985 0.000000066986 0.000000046999


    But When I run my program result is:



    self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

    40 41 52
    -0.000000109858 0.000000000000 0.000000000000
    -0.000000111809 0.000000000000 0.000000000000
    -0.000000113985 0.000000000000 0.000000000000


    using the following data:



    file = https://pastebin.com/raw/WtBu2zh2



    • Python 3.5.2

    • Pandas 0.23.4

    • Ubuntu 16.04

    Any idea why the result will be different?



    Thank you in advance !










    share|improve this question


























      0












      0








      0








      I am very new to python and I have two methods in my program Main and CommonFunctions.



      From Main, I call a function name tech under CommonFunctions



      @staticmethod
      def tech(df, ACslow_period = None, ACfast_period = None):
      slow = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACslow_period).mean())
      fast = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACfast_period).mean())
      df[40] = pd.Series(fast - slow)
      df[41] = pd.Series(((df[40])).rolling(ACfast_period).mean())
      df[52] = (pd.Series(df[40] - df[41])))

      return (df)


      When I test the formula directly from the file, the result is :



      self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

      40 41 52
      0.000000109858 0.000000063136 0.000000046722
      0.000000111809 0.000000064952 0.000000046857
      0.000000113985 0.000000066986 0.000000046999


      But When I run my program result is:



      self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

      40 41 52
      -0.000000109858 0.000000000000 0.000000000000
      -0.000000111809 0.000000000000 0.000000000000
      -0.000000113985 0.000000000000 0.000000000000


      using the following data:



      file = https://pastebin.com/raw/WtBu2zh2



      • Python 3.5.2

      • Pandas 0.23.4

      • Ubuntu 16.04

      Any idea why the result will be different?



      Thank you in advance !










      share|improve this question
















      I am very new to python and I have two methods in my program Main and CommonFunctions.



      From Main, I call a function name tech under CommonFunctions



      @staticmethod
      def tech(df, ACslow_period = None, ACfast_period = None):
      slow = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACslow_period).mean())
      fast = pd.Series(((df[2] + df[3]) / 2).rolling(window=ACfast_period).mean())
      df[40] = pd.Series(fast - slow)
      df[41] = pd.Series(((df[40])).rolling(ACfast_period).mean())
      df[52] = (pd.Series(df[40] - df[41])))

      return (df)


      When I test the formula directly from the file, the result is :



      self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

      40 41 52
      0.000000109858 0.000000063136 0.000000046722
      0.000000111809 0.000000064952 0.000000046857
      0.000000113985 0.000000066986 0.000000046999


      But When I run my program result is:



      self.CommonFunctions.tech(df, ACslow_period = 340, ACfast_period = 30)

      40 41 52
      -0.000000109858 0.000000000000 0.000000000000
      -0.000000111809 0.000000000000 0.000000000000
      -0.000000113985 0.000000000000 0.000000000000


      using the following data:



      file = https://pastebin.com/raw/WtBu2zh2



      • Python 3.5.2

      • Pandas 0.23.4

      • Ubuntu 16.04

      Any idea why the result will be different?



      Thank you in advance !







      python pandas






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 11 at 21:31









      marc_s

      585k13011261272




      585k13011261272










      asked Mar 8 at 16:29









      Esteban G. GutierrezEsteban G. Gutierrez

      42111




      42111






















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