`papyri.examples:example2`

Signature

def example2() → None

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)

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

✗

[<matplotlib.lines.Line2D object at 0x7f4c9588cad0>]

Use the default value for the smoothing parameter:

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

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

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[<matplotlib.lines.Line2D object at 0x7f4c9588cd70>]

Manually change the amount of smoothing:

spl.set_smoothing_factor(0.5)

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

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[<matplotlib.lines.Line2D object at 0x7f4c9588cec0>]

plt.show()

✓