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  • dcherian · 10 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
554389294 https://github.com/pydata/xarray/pull/3302#issuecomment-554389294 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDU1NDM4OTI5NA== dcherian 2448579 2019-11-15T14:53:12Z 2019-11-15T14:53:12Z MEMBER

I'm going to merge this. Happy to make any other changes.

 
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   interpolate_na: Add max_gap support. 492866552
549561349 https://github.com/pydata/xarray/pull/3302#issuecomment-549561349 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDU0OTU2MTM0OQ== dcherian 2448579 2019-11-04T21:44:49Z 2019-11-04T21:44:49Z MEMBER

This could use another round of testing / review

(cc @dnowacki-usgs @stefraynaud @max-sixty )

 
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   interpolate_na: Add max_gap support. 492866552
545009960 https://github.com/pydata/xarray/pull/3302#issuecomment-545009960 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDU0NTAwOTk2MA== dcherian 2448579 2019-10-22T15:10:19Z 2019-11-04T21:44:07Z MEMBER

Thanks @dnowacki-usgs that's a nice test. I think the right fix is to make index a Variable so that we get automatic broadcasting.

Things left to do (or at least add xfail tests + errors): - [x] support for cftime indexes and offsets - [x] what to do when use_coordinate=False - [x] what to do with unlabeled dimensions - [x] document convention for gap length - [x] add examples to docs

 
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   interpolate_na: Add max_gap support. 492866552
546395069 https://github.com/pydata/xarray/pull/3302#issuecomment-546395069 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDU0NjM5NTA2OQ== dcherian 2448579 2019-10-25T15:14:51Z 2019-10-25T15:14:51Z MEMBER

Done for now. Ready for final review / testing.

 
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   interpolate_na: Add max_gap support. 492866552
532257718 https://github.com/pydata/xarray/pull/3302#issuecomment-532257718 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMjI1NzcxOA== dcherian 2448579 2019-09-17T14:53:52Z 2019-09-17T14:53:52Z MEMBER

yes, I think you are right. I was thinking that it would be nice to have the number-of-nan-points and gap-length metrics converge for uniformly spaced coordinates but I don't think that's possible in any sensible way.

 
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   interpolate_na: Add max_gap support. 492866552
531807552 https://github.com/pydata/xarray/pull/3302#issuecomment-531807552 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMTgwNzU1Mg== dcherian 2448579 2019-09-16T14:39:41Z 2019-09-16T14:39:41Z MEMBER

The thing I find weird is that for

<xarray.DataArray (y: 9)> array([nan, nan, nan, 1., nan, nan, 4., nan, nan]) Coordinates: * y (y) int64 0 1 2 3 4 5 6 7 8

the center gap's length = 7-4 = 3 which is the number of NaNs + 1. But maybe this is OK.

  1. We should check what that pandas PR does and align with that
  2. interp calls scipy.interpolate.interp which does do extrapolation, so we should figure out a sensible solution for the edges (extrapolating coordinates using the first and last spacing seems reasonable to me).

@stefraynaud I don't have time to work on this now. Please feel free to modify this and open a new PR. You could try to push to this branch but I'm not sure it will work.

 
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   interpolate_na: Add max_gap support. 492866552
531294795 https://github.com/pydata/xarray/pull/3302#issuecomment-531294795 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMTI5NDc5NQ== dcherian 2448579 2019-09-13T16:00:33Z 2019-09-13T16:00:33Z MEMBER

OK added test and now raises error for irregularly spaced coordinates. I agree that this should be good for now.

 
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   interpolate_na: Add max_gap support. 492866552
531283688 https://github.com/pydata/xarray/pull/3302#issuecomment-531283688 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMTI4MzY4OA== dcherian 2448579 2019-09-13T15:29:34Z 2019-09-13T15:29:34Z MEMBER

Thanks @stefraynaud . I'm having trouble figuring out defining the length of a gap in the irregular coordinate case.

e.g.

da4 = xr.DataArray([np.nan, np.nan, np.nan, 1, np.nan, np.nan, 4, np.nan, np.nan], dims=["y"], coords={"y": [0, 2, 5, 6, 7, 8, 10, 12, 14]})

<xarray.DataArray (y: 9)> array([nan, nan, nan, 1., nan, nan, 4., nan, nan]) Coordinates: * y (y) int64 0 2 5 6 7 8 10 12 14

What is the length of these three gaps given that xarray doesn't have any understanding of grids?

 
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   interpolate_na: Add max_gap support. 492866552
531080613 https://github.com/pydata/xarray/pull/3302#issuecomment-531080613 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMTA4MDYxMw== dcherian 2448579 2019-09-13T03:00:42Z 2019-09-13T03:00:42Z MEMBER

:+1:

 
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   interpolate_na: Add max_gap support. 492866552
530890655 https://github.com/pydata/xarray/pull/3302#issuecomment-530890655 https://api.github.com/repos/pydata/xarray/issues/3302 MDEyOklzc3VlQ29tbWVudDUzMDg5MDY1NQ== dcherian 2448579 2019-09-12T15:55:49Z 2019-09-12T15:55:49Z MEMBER

Thanks @max-sixty I've updated the tests.

Any thoughts on maxgap? limit_gap? Neither clicks that well!

I pulled maxgap from this ~stalled~ Pandas PR: https://github.com/pandas-dev/pandas/pull/25141 OK it looks like that PR is alive again, so maybe it's good to keep the same kwarg? 

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   interpolate_na: Add max_gap support. 492866552

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