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Padas rolling.mean() showing different results
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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
add a comment |
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
add a comment |
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
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
python pandas
edited Mar 11 at 21:31
marc_s
585k13011261272
585k13011261272
asked Mar 8 at 16:29
Esteban G. GutierrezEsteban G. Gutierrez
42111
42111
add a comment |
add a comment |
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