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user 4

  • jhamman 3
  • fujiisoup 3
  • dcherian 1
  • max-sixty 1

issue 1

  • WIP: Feature/interpolate · 8 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
354530255 https://github.com/pydata/xarray/pull/1640#issuecomment-354530255 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM1NDUzMDI1NQ== fujiisoup 6815844 2017-12-30T06:22:21Z 2017-12-30T06:22:21Z MEMBER

Thanks for this great work!

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  WIP: Feature/interpolate 267028954
354530135 https://github.com/pydata/xarray/pull/1640#issuecomment-354530135 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM1NDUzMDEzNQ== fujiisoup 6815844 2017-12-30T06:19:15Z 2017-12-30T06:19:15Z MEMBER

ready to go?

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  WIP: Feature/interpolate 267028954
353415140 https://github.com/pydata/xarray/pull/1640#issuecomment-353415140 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM1MzQxNTE0MA== max-sixty 5635139 2017-12-21T17:53:43Z 2017-12-21T17:53:43Z MEMBER

This is great! While I left some comments, I don't think any warrant changes now, as long as ppl are good with the interpolate_na name

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  WIP: Feature/interpolate 267028954
353284666 https://github.com/pydata/xarray/pull/1640#issuecomment-353284666 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM1MzI4NDY2Ng== fujiisoup 6815844 2017-12-21T08:05:10Z 2017-12-21T08:05:10Z MEMBER

This looks good to me. Thanks for the great work :)

I will merge it in this weekend if there are no further comments.

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  WIP: Feature/interpolate 267028954
352494126 https://github.com/pydata/xarray/pull/1640#issuecomment-352494126 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM1MjQ5NDEyNg== jhamman 2443309 2017-12-18T17:19:59Z 2017-12-18T17:19:59Z MEMBER

@fujiisoup - care to take another pass here? I think this is done but would appreciate a few more reviews.

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  WIP: Feature/interpolate 267028954
344108532 https://github.com/pydata/xarray/pull/1640#issuecomment-344108532 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM0NDEwODUzMg== jhamman 2443309 2017-11-14T00:48:24Z 2017-11-14T00:48:24Z MEMBER

This is ready for some more reviews. I'm seeing some failing tests on the py27-min build that I'm struggling to detangle at the moment but I'm pretty sure they're just pytest related.

cc @darothen - I'd particularly appreciate your thoughts on the interpolators.

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  WIP: Feature/interpolate 267028954
341926678 https://github.com/pydata/xarray/pull/1640#issuecomment-341926678 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM0MTkyNjY3OA== jhamman 2443309 2017-11-04T20:15:41Z 2017-11-04T20:15:41Z MEMBER

@dcherian - Yes, we can do that. Just haven't gotten there yet.

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  WIP: Feature/interpolate 267028954
341926310 https://github.com/pydata/xarray/pull/1640#issuecomment-341926310 https://api.github.com/repos/pydata/xarray/issues/1640 MDEyOklzc3VlQ29tbWVudDM0MTkyNjMxMA== dcherian 2448579 2017-11-04T20:10:47Z 2017-11-04T20:10:47Z MEMBER

@jhamman Would it be possible to have a limit option like pandas?

Quoting http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.interpolate.html ``` limit : int, default None.

Maximum number of consecutive NaNs to fill. Must be greater than 0.

```

I suspect that a lot of the time, users want to fill in "small" gaps but not "large" ones. It is what I usually do.

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  WIP: Feature/interpolate 267028954

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