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  • Linear algebra support · 5 ✖

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1101533629 https://github.com/pydata/xarray/issues/3322#issuecomment-1101533629 https://api.github.com/repos/pydata/xarray/issues/3322 IC_kwDOAMm_X85BqBG9 dcherian 2448579 2022-04-18T16:14:03Z 2022-04-18T16:14:03Z MEMBER

Closing in favour of xarray-einstats

 
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   Linear algebra support 495799492
822124811 https://github.com/pydata/xarray/issues/3322#issuecomment-822124811 https://api.github.com/repos/pydata/xarray/issues/3322 MDEyOklzc3VlQ29tbWVudDgyMjEyNDgxMQ== dcherian 2448579 2021-04-19T02:28:41Z 2021-04-19T02:28:41Z MEMBER

"xarray linalg library"?

Thanks @OriolAbril . This sounds like a nice xarray-contrib repo if it's general enough. Note that we do have xarray.dot https://xarray.pydata.org/en/stable/generated/xarray.dot.html

 
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   Linear algebra support 495799492
533765137 https://github.com/pydata/xarray/issues/3322#issuecomment-533765137 https://api.github.com/repos/pydata/xarray/issues/3322 MDEyOklzc3VlQ29tbWVudDUzMzc2NTEzNw== shoyer 1217238 2019-09-21T03:59:26Z 2019-09-21T03:59:33Z MEMBER

I think the way to write something like an LU decomposition would be to use xarray's apply_ufunc, which in theory could wrap scipy.linalg.lu_factor in one line.

I don't know if this could/should live in xarray proper. We tend to have pretty high standards, which slows development.

 
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   Linear algebra support 495799492
533248639 https://github.com/pydata/xarray/issues/3322#issuecomment-533248639 https://api.github.com/repos/pydata/xarray/issues/3322 MDEyOklzc3VlQ29tbWVudDUzMzI0ODYzOQ== max-sixty 5635139 2019-09-19T18:16:04Z 2019-09-19T18:16:04Z MEMBER 
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   Linear algebra support 495799492
533228830 https://github.com/pydata/xarray/issues/3322#issuecomment-533228830 https://api.github.com/repos/pydata/xarray/issues/3322 MDEyOklzc3VlQ29tbWVudDUzMzIyODgzMA== crusaderky 6213168 2019-09-19T17:23:10Z 2019-09-19T17:23:10Z MEMBER

Hi @weipeng1999 , could you link the reference implementation in numpy/scipy?

I think this would be niche-ish. I would personally try to keep xarray free of functionality that only a tiny fraction of the users actually use - particularly when such functionality can be implemented with a trivial wrapper by the users themselves. e.g. at the moment we have exactly one scipy function being wrapped, and that's linear interpolation which is useful to a lot of people.

I think this falls into a more general discussion on how niche a function must be in order to be excluded from the library - @shoyer what's your opinion?

Regardless, I would like to point you to https://xarray-extras.readthedocs.io which is a module that I created exactly for this kind of cases (PRs are welcome).

 
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   Linear algebra support 495799492

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