mrmatrix: coarsen should create nan_values at each resolution?

[mccalluc]

@pkerpedjiev : Am I understanding it correctly, that there should be a nan_values at each resolution? It is not producing that right now. Without that, it would still need to consult the large matrix at resolution 1 to calculate averages. Assign back to me if there's work to do.

ts_to_mrmatrix_test.py:

class ParseTest(unittest.TestCase):
    def test_parse(self):
        ...
        self.assertEqual(list(hdf5['resolutions']['1'].keys()), ['nan_values', 'values'])
        ...
        self.assertEqual(list(hdf5['resolutions']['2'].keys()), ['values'])

[pkerpedjiev]

Yes, that's correct, there should be nan_values assigned at every resolution if you want to be able to view averages at lower resolutions. Enabling that is just a matter of doing the same thing that coarsen (

clodius/scripts/tsv_to_mrmatrix.py

Line 18 in 1e275f4

grid = f['resolutions']['1']['values']

) does except with the nan_values dataset.

I don't think I ever implemented it because I didn't need to get average values.