Python Memoryerror In Scipy Radial Basis Function (scipy.interpolate.rbf)

I'm trying to interpolate a not-so-large (~10.000 samples) pointcloud representing a 2D surface, using Scipy Radial Basis Function (Rbf). I got some good results, but with my last

Solution 1:

Your dataset should be fine: the error appears because you don't have enough RAM to store the result of the subtraction.

According to the broadcasting rules, the result will have shape

 (2, 10744,     1)
-(2,     1, 10744)
------------------
 (2, 10744, 10744)

Assuming these are arrays of dtype float64, you need 2*10744**2*8 = 1.72 GiB of free memory. If there isn't enough free memory, numpy won't be able to allocate the output array and will immediately fail with the error you see.