Exponential Smoothing program

[Rob Gaddi]

On 08/31/2017 05:35 AM, Ode Idoko wrote:
> 
> I am running a master degree programme and very new to programming including python. I have been given a project to write a python program on exponential smoothing of some selected stocks. The program should user the user to input alpha, display the graph of the original data and "smoothed data".
> 
> On the same python program, I am to develop a linear regression model to predict the next period, showing correlation coefficients to indicate the strength of the model.
> 
> I have been able to write a program which returns some values but no graph and also having difficulties with the linear regression.
> 
> This is the program I wrote:
> 
> def exponential_smoothing (a,y,f):
>      ans = (a*y) + (1-a) * f
>      return ans
> 
> print ("Exponential_Smoothing Program")
> a = float(input("please enter a: "))
> y = float(input("please enter y: "))
> f = float(input("please enter f: "))
> ans = exponential_smoothing (a,y,f)
> print ("the answers are %.2f" %(ans))
> 
> Could someone kindly help with tips on how to go about this?
> 

It's time to introduce yourself to Python's data analysis toolkit. 
Numpy, Scipy, Matplotlib and, if you're going to be doing stocks, Pandas.

There's a LOT there between them, it's a bit of a drink from the 
firehose problem.  I like Wes McKinney's "Python for Data Analysis" book 
and consider it a good investment if you need to get up to speed on this 
stuff.

-- 
Rob Gaddi, Highland Technology -- www.highlandtechnology.com
Email address domain is currently out of order.  See above to fix.