On Mon, Sep 20, 2010 at 3:36 PM, Chris Spencer <chriss...@gmail.com> wrote:
> Hi,
>
> Does Matplotlib/Numpy/Scipy contain the ability to fit a sigmoid curve
> to a set of data points?
>
> Regards,
> Chris
>
I am very curious to know how this is done. I have seen in many Cloud
Condensation Nuclei (CCN) counter calibration experiments [e.g. Rose et. al.
(2008) - p1156, fig2
http://www.atmos-chem-phys.net/8/1153/2008/acp-8-1153-2008.html] people use
sigmoidal fits. Never seen a code is shared so far or how it is obtained.
from scipy.optimize import leastsq
could be a good point to start. To me this fit is very likely a least square
minimization problem. You have your tanh(x) or 1/(1+e^-x) as a sigmoidal
function, and you should find the points that will make the error minimal
for a given discrete points/measurements.
from scipy.optimize import curve_fit might be another way to approach.
--
Gökhan
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