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Singular Matrix Error

See original GitHub issue

I’m trying to carry out one dimensional kriging using the python module ‘pykrige’ but I’m getting a few errors.

I tried to pass a zero vector as argument for the second variable.

My code is as below

        hs = np.array(np.arange(0,1,bw))
        hs0 = np.zeros(len(hs))

        OK = OrdinaryKriging(P[:, 0], P[:, 1], P[:, 2], variogram_model='linear',
                 verbose=False, enable_plotting=False)
        
        z, ss = OK.execute('grid', hs, hs0)

It gives me a linear algebra error when I run the execute command.

  File "/home/home_shihab/miniconda3/lib/python3.6/site-packages/pykrige/ok.py", line 396, in _exec_vector
    a_inv = scipy.linalg.inv(a)

  File "/home/home_shihab/miniconda3/lib/python3.6/site-packages/scipy/linalg/basic.py", line 976, in inv
    raise LinAlgError("singular matrix")

LinAlgError: singular matrix

Can anyone please help me with this?

Issue Analytics

State:
Created 6 years ago
Reactions:2
Comments:6 (5 by maintainers)

Top GitHub Comments

1reaction

MuellerSebcommented, Aug 19, 2020

This should be fixed with v1.5.1 that will be released tomorrow. Closing for now. Feel free to re-open, if you have further questions.

1reaction

MuellerSebcommented, Jan 27, 2020

We could implement the pseudo-inverse for the case where we have a singular matrix, that can occur frequently when the number of points is to low, or the variogram-model is ill-choosen.

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