An example of how to perform a gaussian fit using sci-py's curve_fit with a Levenberg-Marquardt algorithm.
To install this package, please download it and run pip install . in the folder where it was downloaded.
To use this package after installing you can import and use it as such:
from example_gauss_fit import example_gauss_fit
import numpy as np
x=np.array([-1,0.5,0,0.5,1])
y=np.array([0.1,.25,.5,.25,0.1])
paremeters = gauss_fit.gauss_fit(x,y)
xeval=np.linspace(-10,10,1000)
yeval=gauss_fit.gauss_eval(xeval,parameters)
The parameters object is now a dictionary with the best-fit parameters.
The xeval and yeval contain the fitted gaussian from the data.
To run the unit test ensure pytest is installed and then run from the root folder:
python -m pytest
This package depends on:
numpy
sci-py