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- """Fitting a curve to a dataset"""
- import numpy as np
- from scipy.optimize import curve_fit
- from vedo.pyplot import plot
- from vedo import settings
- def func(x, h, a, x0, k):
- return h + a * (x-x0) * np.sin((x-x0)**2 / k)
- # generate simulated data
- xdata = np.linspace(3, 10, 80)
- true_params = [20, 2, 8, 3]
- ydata_true = func(xdata, *true_params)
- ydata = np.random.normal(ydata_true, 3, 80)
- fit_params, pcov = curve_fit(func, xdata, ydata, p0=[19, 3, 8, 2.5])
- ydata_fit = func(xdata, *fit_params)
- print("true params = ", true_params)
- print("fit params = ", fit_params)
- settings.default_font = "ComicMono"
- settings.remember_last_figure_format = True # when adding with p += ...
- p = plot(xdata, ydata, "o", mc="blue2", title=__doc__, label="Data")
- p += plot(xdata, ydata_true, "-g", lw=2, label="Ground Truth")
- p += plot(xdata, ydata_fit, "-r", lw=4, label="Fit")
- p.add_legend(pos="bottom-right")
- p.show(size=(900, 650), zoom="tight")
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