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  • aulemahal · 2 ✖

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  • Fix polyfit fail on deficient rank · 2 ✖

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  • CONTRIBUTOR 2
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675046525 https://github.com/pydata/xarray/pull/4193#issuecomment-675046525 https://api.github.com/repos/pydata/xarray/issues/4193 MDEyOklzc3VlQ29tbWVudDY3NTA0NjUyNQ== aulemahal 20629530 2020-08-17T18:42:51Z 2020-08-17T18:42:51Z CONTRIBUTOR

@mathause Fixed the tests to catch the warning and added a case for the specific of the issue : too many nans causing a rank deficiency.

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  Fix polyfit fail on deficient rank 650044968
674153884 https://github.com/pydata/xarray/pull/4193#issuecomment-674153884 https://api.github.com/repos/pydata/xarray/issues/4193 MDEyOklzc3VlQ29tbWVudDY3NDE1Mzg4NA== aulemahal 20629530 2020-08-14T16:23:12Z 2020-08-14T16:23:35Z CONTRIBUTOR

So while adding tests, I realized there were more bugs concerning deficient rank matrices and full=True output. I believe I fixed all I could find. However, I was not able to reduce the number of warnings for the case using dask : the computation occurs outside of the catch_warnings() context... Also, there is a bug in the dask.array.linalg.lstsq output (see issue dask/dask#6516), so if full=True we must use skipna=True with dask. Same when rank != order (deficient rank), dask.array.linalg.lstsq will fail, so we work around by using our (slower) nan-skipping method.

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  Fix polyfit fail on deficient rank 650044968

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