Dear Alan and Oscar
Thank you.
I'll try to be more accurate:
What Oscar wrote is exactly the situation:
> "I'm going to assume that you have some data that gives paired
> measurements of two quantities e.g. (x1, y1), (x2, y2), ... (xn, yn).
> You want to find parameters a, b, and k so that y = a+b*exp(k*x) is a
> good fit to your data. The problem is that there is no unique
> definition of a "good" fit."
>
>
> I will install scipy.
>
> So your first step is probably to install scipy if you haven't already
> and have a look at its optimize module. I can be more specific if you
> explain a little more about what you're trying to do and what your
> data looks like.
It's a variation , of a physical value ("y") in time ("x") (while
cooling) , you have the data measured (xi, yi), but not from x=0. I need to
extrapolate "y" to "x=0", by that equation.
I know the very basics about statistics, and a beginner in python, I ve
chosen python to work with.
Regards,
Igor
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