Fitting function to multiple datasets in SciPy

Question

I am having a problem where I have dataset A and dataset B, and I know that the data in A obeys, say f(a,b,c), while the data in B obeys g(a,b,d) and I want to fit the data so that I obtain the best fit for my parameters. Unfortunately I could not find a function in SciPy to do this.

For context I have data for T(N) and T(r) and both obey some T(a,b,c,r,N) but I can't fit my data as I can't fit them separetely as I would get different results that way, however scipy.optimize.curve_fit only takes one set of data.

how about [scipy optimize](https://docs.scipy.org/doc/scipy/reference/optimize.html)? ... more precise the curve fit module... — KahntM, Dec 01 '18 at 02:22

score 0 · Accepted Answer · answered Dec 01 '18 at 03:10

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I just realised I was looking at it the wrong way. Solution can be found here: Fit plane to a set of points in 3D: scipy.optimize.minimize vs scipy.linalg.lstsq

answered Dec 01 '18 at 03:10

Lala5th

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Fitting function to multiple datasets in SciPy

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