3-D interpolation using LinearNDInterpolator (Python) -


i want interpolate 3-d data using scipy linearndinterpolator function (python 2.7). can't quite figure out how use it, though: below attempt. i'm getting error valueerror: different number of values , points. leads me believe shape of "coords" not appropriate these data, looks in documentation shape okay.

note in data want use (instead of example) spacing of grid irregular, regulargridinterpolator not trick.

thanks help!

def f(x,y,z):     return 2 * x**3 + 3 * y**2 - z  x = np.linspace(1,2,2) y = np.linspace(1,2,2) z = np.linspace(1,2,2)   data = f(*np.meshgrid(x, y, z, indexing='ij', sparse=true))  coords = np.zeros((len(x),len(y),len(z),3)) coords[...,0] = x.reshape((len(x),1,1)) coords[...,1] = y.reshape((1,len(y),1)) coords[...,2] = z.reshape((1,1,len(z))) coords = coords.reshape(data.size,3)  my_interpolating_function = linearndinterpolator(coords,data)   pts = np.array([[2.1, 6.2, 8.3], [3.3, 5.2, 7.1]]) print(my_interpolating_function(pts))


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