File:Comparaison interpolation scipy interpolate polynomes.svg
Summary
| Description |
Français : Comparaisons de différentes interpolations polynomiales par partie proposées par Python Numpy.
English: Comparison beteween various picewise polynomial interpolations proposed by Python Numpy. |
| Date | |
| Source | Own work |
| Author | Cdang |
import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
xp = np.linspace(0, 2*np.pi, 5)
yp = np.sin(xp)
finterpa = interpolate.CubicSpline(xp, yp)
xa = np.linspace(-0.5*np.pi, 2.5*np.pi, 29)
ya = finterpa(xa)
xb = np.linspace(-0.5*np.pi, 2.5*np.pi, 25)
yb = finterpb(xb)
xf = np.linspace(-0.5*np.pi, 2.5*np.pi, 25)
yf = finterpf.__call__(xf)
xg = np.linspace(-0.9*np.pi, 2.9*np.pi, 49)
yg = finterpg.__call__(xg)
fig = plt.figure(figsize=[20, 12])
plt.plot(xa, ya, label="CubicSpline")
plt.plot(xb, yb, label="interp1d quadratic")
plt.plot(xf, yf, label="PchipInterpolator")
plt.plot(xg, yg, label="Akima1DInterpolator")
plt.legend()
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