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user 7

  • keewis 3
  • shoyer 2
  • rabernat 1
  • dcherian 1
  • andersy005 1
  • codecov[bot] 1
  • TomNicholas 1

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  • WIP: tutorial on merging datasets · 10 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
875136135 https://github.com/pydata/xarray/pull/3131#issuecomment-875136135 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDg3NTEzNjEzNQ== andersy005 13301940 2021-07-06T22:57:29Z 2021-07-06T22:57:29Z MEMBER

@rabernat, the gentlest of bumps on this :)... How much work (content) is left to bring this to completion? I'm asking because I'd be happy to help if there's still more work and/or follow-up PR needed.

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  WIP: tutorial on merging datasets 467908830
637570480 https://github.com/pydata/xarray/pull/3131#issuecomment-637570480 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDYzNzU3MDQ4MA== dcherian 2448579 2020-06-02T14:13:44Z 2020-06-02T14:13:44Z MEMBER

Thanks @keewis !

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  WIP: tutorial on merging datasets 467908830
637545516 https://github.com/pydata/xarray/pull/3131#issuecomment-637545516 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDYzNzU0NTUxNg== keewis 14808389 2020-06-02T13:33:31Z 2020-06-02T13:33:31Z MEMBER

@rabernat, I did the rebase for this and #3111, so when you eventually pick this up again, a simple merge should get this up-to-date with master

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  WIP: tutorial on merging datasets 467908830
511253002 https://github.com/pydata/xarray/pull/3131#issuecomment-511253002 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDUxMTI1MzAwMg== codecov[bot] 22429695 2019-07-15T01:32:30Z 2020-06-02T13:24:36Z NONE

Codecov Report

Merging #3131 into scipy19-docs will decrease coverage by 0.16%. The diff coverage is n/a.

```diff @@ Coverage Diff @@

scipy19-docs #3131 +/-

================================================ - Coverage 96.18% 96.02% -0.17%
================================================ Files 66 63 -3
Lines 13858 12799 -1059
================================================ - Hits 13330 12290 -1040
+ Misses 528 509 -19
```

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  WIP: tutorial on merging datasets 467908830
630228624 https://github.com/pydata/xarray/pull/3131#issuecomment-630228624 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDYzMDIyODYyNA== keewis 14808389 2020-05-18T14:42:08Z 2020-05-18T14:42:33Z MEMBER

we should rebase this and #3111 onto master so we don't depend on the old scipy19-docs branch. If we want to continue having a separate development branch for documentation, I think we should use one that is kept in sync with current master.

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  WIP: tutorial on merging datasets 467908830
630209431 https://github.com/pydata/xarray/pull/3131#issuecomment-630209431 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDYzMDIwOTQzMQ== keewis 14808389 2020-05-18T14:13:06Z 2020-05-18T14:13:06Z MEMBER

err, sorry, no. That happened because I deleted the branch you tried to merge into. Let me try to fix that.

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  WIP: tutorial on merging datasets 467908830
630208018 https://github.com/pydata/xarray/pull/3131#issuecomment-630208018 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDYzMDIwODAxOA== rabernat 1197350 2020-05-18T14:10:34Z 2020-05-18T14:10:34Z MEMBER

I am still hoping to finish this one day. Any reason it needs to be closed?

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  WIP: tutorial on merging datasets 467908830
512355490 https://github.com/pydata/xarray/pull/3131#issuecomment-512355490 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDUxMjM1NTQ5MA== shoyer 1217238 2019-07-17T16:28:31Z 2019-07-17T16:28:31Z MEMBER

It is possible that we do actually need a third combine mode that works like the old auto_combine.

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  WIP: tutorial on merging datasets 467908830
512353104 https://github.com/pydata/xarray/pull/3131#issuecomment-512353104 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDUxMjM1MzEwNA== TomNicholas 35968931 2019-07-17T16:22:26Z 2019-07-17T16:22:26Z MEMBER

Nor am I. I originally thought it should be 'nested' because the concat-in-order behaviour is more similar to the original auto_combine, but I don't know.

It seems to me like it depends on the quality of user's data: if they have high-quality datasets which already have sensible coordinates for each dimension then' by_coords' is best, but if their data is more primitive without coordinates (like mine happens to be) then 'nested' is the most natural default. So do we have a sense of what the largest number of users would find most natural? Or is this not a good way to think about it?

On Wed, 17 Jul 2019, 16:05 Stephan Hoyer, notifications@github.com wrote:

I think "by_coords" is probably the most user friendly default for open_mfdataset? But I'm not entirely sure...

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  WIP: tutorial on merging datasets 467908830
512296380 https://github.com/pydata/xarray/pull/3131#issuecomment-512296380 https://api.github.com/repos/pydata/xarray/issues/3131 MDEyOklzc3VlQ29tbWVudDUxMjI5NjM4MA== shoyer 1217238 2019-07-17T15:05:47Z 2019-07-17T15:05:47Z MEMBER

I think "by_coords" is probably the most user friendly default for open_mfdataset? But I'm not entirely sure...

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  WIP: tutorial on merging datasets 467908830

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