File:Interpolation trois types.svg
Summary
| Description |
Français : Trois procédés d'interpolation avec Python :
scipy.interpolate.interp1d(kind="nearest"), numpy.interp() et scipy.interpolate.KroghInterpolator().English: Three ways to interpolate with Python: scipy.interpolate.interp1d(kind="nearest"), numpy.interp() and scipy.interpolate.KroghInterpolator(). |
| Date | |
| Source | Own work |
| Author | Cdang |
This plot was created with Matplotlib.Category:Valid SVG created with Matplotlib#Interpolation%20trois%20types.svg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
xp = np.linspace(0, 2*np.pi, 6)
yp = np.sin(xp)
x = np.linspace(0, 2*np.pi, 101)
# constante
finterpa = interpolate.interp1d(xp, yp, kind="nearest",
fill_value="extrapolate")
ya = finterpa(x)
# linéaire
yb = np.interp(x, xp, yp)
# polynomiale
finterpc = interpolate.KroghInterpolator(xp, yp)
yc = finterpc.__call__(x)
# tracé
fig.suptitle("Interpolation")
# plt.plot(x, np.sin(x), ":k", label="sinus")
plt.plot(x, ya, label="constante")
plt.plot(x, yb, label="linéaire")
plt.plot(x, yc, label="polynomiale")
plt.plot(xp, yp, "r+")
plt.legend()
plt.savefig("interpolation_trois_types.svg", format="svg")
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