html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3891#issuecomment-612486735,https://api.github.com/repos/pydata/xarray/issues/3891,612486735,MDEyOklzc3VlQ29tbWVudDYxMjQ4NjczNQ==,35968931,2020-04-11T18:39:58Z,2020-04-11T18:39:58Z,MEMBER,"I'm trying to imagine what the approach that delegated the largest fraction of the work to an attrs-handling plugin would be. Would it be to give the attrs plugin the input, and the name of the function/method that was being called, and let the plugin completely decide the output attrs? Or would that be under-specified?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,587895591
https://github.com/pydata/xarray/issues/3891#issuecomment-612445784,https://api.github.com/repos/pydata/xarray/issues/3891,612445784,MDEyOklzc3VlQ29tbWVudDYxMjQ0NTc4NA==,35968931,2020-04-11T15:24:58Z,2020-04-11T15:25:22Z,MEMBER,"> For example, in an operation dividing one dataarray by another, if they both share an attr which has a __div__ method, we call that and put the returned value on the resulting dataarray. 

I agree that this would be very powerful, and allow users to implement all the things they want (provenance, units handling etc.), but this also seems like a big undertaking. In order to have well-defined handling of attrs through operations like `merge`, `concat`, and ufuncs, wouldn't the attr-handling interface have to be almost as complicated as xarray's actual interface? Not saying we shouldn't do it, but what's the minimum set of attr-handling hooks that would have to be defined (and implemented and tested)?

Do you think it would be useful to get input from someone who actually wants this for a complex use case? I think the most hardcore one will be data provenance, because that (a) will need complicated underlying logic, (b) ideally needs to be pretty fault-tolerant, and (c) won't be made redundant by pint or duck-array integration. There was someone on #1614 who was asking about this IIRC.

> Would we want a deprecation warning on any operation with an attr?

That would be almost every operation wouldn't it?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,587895591
https://github.com/pydata/xarray/issues/3891#issuecomment-609481850,https://api.github.com/repos/pydata/xarray/issues/3891,609481850,MDEyOklzc3VlQ29tbWVudDYwOTQ4MTg1MA==,35968931,2020-04-05T20:59:36Z,2020-04-05T21:01:09Z,MEMBER,"I think this is a good question @max-sixty , and I have some opinions based on my experience with [xBOUT](https://github.com/boutproject/xBOUT).

Firstly I agree with you that for those users who use [xarray as a convenience wrapper](https://github.com/pydata/xarray/issues/988#issuecomment-243124532) or for whom it's [useful but not critical](https://github.com/pydata/xarray/issues/988#issuecomment-316393986) it makes more sense to keep attrs by default. ""Drop by default because otherwise they might become inconsistent with your data"" never really made sense to me, because if you care that much about attrs being consistent with data then you really need well-defined rules for how they are propagated in all cases, which we don't (yet) offer. In all other cases you would rather keep them and have to deal with the edge cases (which is why I wanted #2482 ).

As a concrete usage example of wanting to preserve attrs while not being overly-concerned if they sometimes get dropped: in xBOUT, our data requires carting around some [`regions` attributes](https://github.com/boutproject/xBOUT/pull/107) so that we know [how to plot it](https://github.com/boutproject/xBOUT/pull/34) later. One day this could maybe be handled by custom indexes in xBOUT, but there are probably other communities whose attrs requirements couldn't be.

After the casual wrapper case, the most important cases are: 
- Units, which IMO becomes much less relevant once pint integration is complete,
- [Data provenance](https://github.com/pydata/xarray/issues/1614#issuecomment-397966050),
- [CF conventions](http://wiki.esipfed.org/index.php/Attribute_Convention_for_Data_Discovery#Highly_Recommended_Variable_Attributes)
- Other domain-specific types of grids (like the xBOUT case, or staggered grids etc.)

At the risk of repeating what's in #1614 , I would like to see some hybrid approach, which gives a simple global default along the lines of what @crusaderky suggests, but also allows a plugin which takes over and rigorously specifies the behaviour for the users who do care. Then we can [outsource the work](https://github.com/pydata/xarray/issues/2288) of the complex logic to e.g. the community that actually has to preserve CF conventions, or a separate data provenance package. 

(Also I made a new `metadata` issue label for these discussions)","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,587895591