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Entry  Mon Oct 2 17:37:46 2017, Kira, DailyProgress, TempCtrl, heating/cooling data fitting temp_down_plot.pngtemp_up_plot.pngfit.tar.gz
    Reply  Mon Oct 2 19:24:27 2017, Kira, Craig, DailyProgress, TempCtrl, heating/cooling data fitting 
       Reply  Tue Oct 3 09:33:01 2017, Kira, Craig, DailyProgress, TempCtrl, heating/cooling data fitting 
Message ID: 1941     Entry time: Mon Oct 2 19:24:27 2017     In reply to: 1940     Reply to this: 1942
Author: Kira, Craig 
Type: DailyProgress 
Category: TempCtrl 
Subject: heating/cooling data fitting 

What model are you using to fit this?  What is p0, popt, or pcov? 

I looked at the curve_fit tutorial, so it seems like your model is:

$M(x, \alpha, \beta, \gamma) = \alpha \exp{(-\beta x)} + \gamma$

where x is your data,  \alpha, \beta, and \gamma are your model parameters, p0 are your initial parameter values, popt are you optimal model fit values, and pcov is your covariance matrix.

Quote:

I fit the data that Kevin and I gathered a while ago for the heating/cooling test we performed.

 

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