基于python的数学建模—高阶样条插值

import numpy as np
import matplotlib.pylab as pl
from scipy import interpolate

x = np.linspace(0, 10, 11)
y = np.sin(x)

pl.figure(figsize=(12, 9))
pl.plot(x, y, 'ro')
x_new = np.linspace(0, 10, 101)

for kind in ['nearest', 'zero', 'linear', 'quadratic', 5]:　　#零阶，零阶，一阶，三阶，五阶
    f = interpolate.interp1d(x, y, kind=kind)
    y_new = f(x_new)
    pl.plot(x_new, y_new, label=str(kind))
pl.xticks(fontsize=20)
pl.yticks(fontsize=20)

#标签坐落于右下方
pl.legend(loc='lower right')
pl.show()