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Showing posts with the label Curve Fitting

How To Do Scipy Curve Fitting With Error Bars And Obtain Standard Errors On Fitting Parameters?

I am trying to fit my data points. It looks like the fitting without errors are not that optimistic… Read more How To Do Scipy Curve Fitting With Error Bars And Obtain Standard Errors On Fitting Parameters?

How Do I Add Weighting To A Curve Not The Data Points During Fitting? What Import/func Do I Use?

I've tried scipy.optimize import curve_fit but it only seems to change the data points. I want … Read more How Do I Add Weighting To A Curve Not The Data Points During Fitting? What Import/func Do I Use?

Python And Lmfit: How To Fit Multiple Datasets With Shared Parameters?

I would like to use the lmfit module to fit a function to a variable number of data-sets, with some… Read more Python And Lmfit: How To Fit Multiple Datasets With Shared Parameters?

Curve_fit With Polynomials Of Variable Length

I'm new to python (and programming in general) and want to make a polynomial fit using curve_fi… Read more Curve_fit With Polynomials Of Variable Length

Fitting Multiple Lorentzians To Brillouin Spectrum Using Scipy In Python 3

I am trying to fit Brillouin Spectra (with several peaks) using scipy.optimize.curve_fit. I have h… Read more Fitting Multiple Lorentzians To Brillouin Spectrum Using Scipy In Python 3

Python Gaussian Fit On Simulated Gaussian Noisy Data

I need to interpolate data coming from an instrument using a gaussian fit. To this end I thought ab… Read more Python Gaussian Fit On Simulated Gaussian Noisy Data

Fitting Binned Lognormal Data In Python

I have a range of particle size distribution data arranged by percentage volume fraction, like so:;… Read more Fitting Binned Lognormal Data In Python

Smoothing A Curve With Vectors Made By Few Elements?

I have 4 curves that are represented by these vectors: x = [300, 700, 1000, 1500] y1 = [-1.00553941… Read more Smoothing A Curve With Vectors Made By Few Elements?