File:Interpolation lineaire numpy interp trois extrapolations.svg
Summary
| Description |
Français : Trois manières d'extrapoler avec une méthode linéaire avec Python Numpy :
English: Three ways to extrapolate with a linear method with Python Numpy:
|
| Date | |
| Source | Own work |
| Author | Cdang |
import numpy as np
import matplotlib.pyplot as plt
# **********************
# * numpy.interp() *
# * sans option period *
# **********************
xp = np.linspace(0, 2*np.pi, 5)
yp = np.sin(xp)
x = np.linspace(-2*np.pi, 4*np.pi, 25)
ya = np.interp(x, xp, yp)
fig, liste_axes = plt.subplots(3, 1, constrained_layout=True, figsize=[8,8])
fig.suptitle("Interpolation linéaire")
liste_axes[0].plot(x, ya, "y-")
liste_axes[0].plot(xp, yp, "r+")
liste_axes[0].set_title("numpy.interp()")
yb = np.interp(x, xp, yp, period=2*np.pi)
liste_axes[1].plot(x, yb, "y-")
liste_axes[1].plot(xp, yp, "r+")
liste_axes[1].set_title("numpy.interp(period=2*np.pi)")
finterp = interpolate.interp1d(xp, yp, kind="slinear", fill_value="extrapolate")
x2 = np.linspace(-np.pi, 3*np.pi, 25)
y2 = finterp(x2)
liste_axes[2].plot(x2, y2, "y")
liste_axes[2].plot(xp, yp, "+r")
liste_axes[2].set_title('scipy.interpolate.interp1d(fill_value="extrapolate")')
plt.savefig("interpolation_lineaire_numpy_interp_trois_extrapolations.svg", format="svg")
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