x,y,d = 一维数组(散点数据) x0 = np.linspace(x.min, x.max, 150) y0 = np.linspace(y.min, y.max, 100) x1, y1 = np.meshgrid(x0, y0) for i in ['linear', 'power', 'gaussian', 'spherical', 'exponential', 'hole-effect']: Krin = OrdinaryKriging(x, y, d, variogram_model=i) data, ssl = Krin.execute('grid', x0, y0) plt.contourf(x1, y1, np.array(data), cmap=cmap) plt.title(i) plt.show()
标签:plt,插值,OrdinaryKriging,克里,y1,np,y0,x0 From: https://www.cnblogs.com/luochunxi/p/16829404.html