papyri.examples:example2

import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import UnivariateSpline

x = np.linspace(-3, 3, 50)
y = np.exp(-(x ** 2)) + 0.1 * np.random.randn(50)

plt.plot(x, y, "ro", ms=5)

spl = UnivariateSpline(x, y)
xs = np.linspace(-3, 3, 1000)

plt.plot(xs, spl(xs), "g", lw=3)

spl.set_smoothing_factor(0.5)

plt.plot(xs, spl(xs), "b", lw=3)

plt.show()