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Fitting to polynomialΒΆ
Plot noisy data and their polynomial fit
import numpy as np
import matplotlib.pyplot as plt
rng = np.random.default_rng(27446968)
x = np.linspace(0, 1, 20)
y = np.cos(x) + 0.3 * rng.random(20)
p = np.poly1d(np.polyfit(x, y, 3))
t = np.linspace(0, 1, 200)
plt.plot(x, y, "o", t, p(t), "-")
plt.show()
Total running time of the script: (0 minutes 0.049 seconds)