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/7111#issuecomment-1266619173,https://api.github.com/repos/pydata/xarray/issues/7111,1266619173,IC_kwDOAMm_X85LfxMl,167802,2022-10-04T08:53:46Z,2022-10-04T08:54:12Z,CONTRIBUTOR,"Thanks for pinging me. Regarding the ancillary variables, this comes from the CF conventions, allowing to ""link"" two or more arrays together. For example, we might have a `radiance` array, with `quality_flags` as an ancillary variable array, that characterises the quality of each radiance pixel. Now, in netcdf/CF, the ancillary variables are just references, but the logical way to do this in xarray is to use an `ancillary_variables` attribute to a `DataArray`. I'm not sure how we could do it in another way.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1392878100
https://github.com/pydata/xarray/issues/4118#issuecomment-1040778284,https://api.github.com/repos/pydata/xarray/issues/4118,1040778284,IC_kwDOAMm_X84-CQQs,167802,2022-02-15T20:48:51Z,2022-07-18T13:05:09Z,CONTRIBUTOR,"Thanks for launching this discussion @TomNicholas !
I'm a core dev of pytroll/satpy which handles earth observing satellite data. I got interested in DataTree because we have data from the same instruments available at mulitple resolution, hence not fitting into a single Dataset.
For use Option 1 is probably feeling better. Even when having data at  multiple resolutions, it is still a limited number of resolutions and hence splitting them in groups is the natural way of going I would say.
We do not use the features you mention in Zarr or GRIB, as a majority of the satellite data we use is provided in netcdf nowadays.
Don't hesitate to ask if you want to know more or if something is unclear, we are really interested in these developments, so if we can help that way...","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058
https://github.com/pydata/xarray/issues/3746#issuecomment-581940682,https://api.github.com/repos/pydata/xarray/issues/3746,581940682,MDEyOklzc3VlQ29tbWVudDU4MTk0MDY4Mg==,167802,2020-02-04T14:40:09Z,2020-02-04T14:40:09Z,CONTRIBUTOR,"Thanks for the clarification. I can confirm that `drop_vars` works as expected. As a user, I would vote for having `__delitem__` call `drop_vars`, at least for now to keep backwards compatibility ?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,559645981
https://github.com/pydata/xarray/issues/3746#issuecomment-581925761,https://api.github.com/repos/pydata/xarray/issues/3746,581925761,MDEyOklzc3VlQ29tbWVudDU4MTkyNTc2MQ==,167802,2020-02-04T14:08:03Z,2020-02-04T14:08:03Z,CONTRIBUTOR,"@keewis thanks for the quick reply. I wasn't aware the builtin `del` wasn't supposed to work here, I'll try with `drop_vars` instead.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,559645981
https://github.com/pydata/xarray/issues/3433#issuecomment-545829813,https://api.github.com/repos/pydata/xarray/issues/3433,545829813,MDEyOklzc3VlQ29tbWVudDU0NTgyOTgxMw==,167802,2019-10-24T09:23:14Z,2019-10-24T09:23:14Z,CONTRIBUTOR,"Ok, then I probably won't have the time to dig into this for now, sorry. If someone else with better knowledge of the code can work on this it would probably be for the best.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,510892578
https://github.com/pydata/xarray/issues/3433#issuecomment-545303756,https://api.github.com/repos/pydata/xarray/issues/3433,545303756,MDEyOklzc3VlQ29tbWVudDU0NTMwMzc1Ng==,167802,2019-10-23T07:12:22Z,2019-10-23T07:13:22Z,CONTRIBUTOR,"ooh, maybe I answered too fast. I hadn't really looked at the code yet... but let's see:
if I understand correctly, in the function you cited, the functions get wrapped and include in the current `cls`. So I would need to fix the wrapper itself (`_func_slash_method_wrapper`) so that the attrs get copied and applied to the resulting array (if `keep_attrs` is `True` that is). However, do we have a guarantee that the wrapped functions are actually returning something that can have a `.attrs` ?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,510892578
https://github.com/pydata/xarray/issues/3433#issuecomment-545295063,https://api.github.com/repos/pydata/xarray/issues/3433,545295063,MDEyOklzc3VlQ29tbWVudDU0NTI5NTA2Mw==,167802,2019-10-23T06:47:00Z,2019-10-23T06:47:00Z,CONTRIBUTOR,"Sure! What do you reckon the default should be ? False for backwards compatibility ?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,510892578
https://github.com/pydata/xarray/issues/3317#issuecomment-532683009,https://api.github.com/repos/pydata/xarray/issues/3317,532683009,MDEyOklzc3VlQ29tbWVudDUzMjY4MzAwOQ==,167802,2019-09-18T13:25:52Z,2019-09-18T13:28:17Z,CONTRIBUTOR,"@crusaderky yep, supporting `DataArray` and `Dataset` objects is what we need.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,495198361
https://github.com/pydata/xarray/issues/3317#issuecomment-532683407,https://api.github.com/repos/pydata/xarray/issues/3317,532683407,MDEyOklzc3VlQ29tbWVudDUzMjY4MzQwNw==,167802,2019-09-18T13:26:47Z,2019-09-18T13:26:47Z,CONTRIBUTOR,and thanks for the workaround and impressively fast reaction :),"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,495198361
https://github.com/pydata/xarray/pull/2591#issuecomment-445786351,https://api.github.com/repos/pydata/xarray/issues/2591,445786351,MDEyOklzc3VlQ29tbWVudDQ0NTc4NjM1MQ==,167802,2018-12-10T11:38:24Z,2018-12-10T11:38:24Z,CONTRIBUTOR,"Ok good, I'll let this run it's course then.
How about whats-new.rst, do you want me to fill in something there?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,387732534
https://github.com/pydata/xarray/pull/2591#issuecomment-445739994,https://api.github.com/repos/pydata/xarray/issues/2591,445739994,MDEyOklzc3VlQ29tbWVudDQ0NTczOTk5NA==,167802,2018-12-10T09:01:49Z,2018-12-10T09:01:49Z,CONTRIBUTOR,"Ok travis seems to pass, how about appveyor ? There are many time encoding errors, should it be so ?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,387732534
https://github.com/pydata/xarray/pull/2591#issuecomment-444842759,https://api.github.com/repos/pydata/xarray/issues/2591,444842759,MDEyOklzc3VlQ29tbWVudDQ0NDg0Mjc1OQ==,167802,2018-12-06T11:36:35Z,2018-12-06T11:36:35Z,CONTRIBUTOR,Am I right in thinking the failing travis and appveyor build aren't my doing ?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,387732534
https://github.com/pydata/xarray/pull/2591#issuecomment-444469807,https://api.github.com/repos/pydata/xarray/issues/2591,444469807,MDEyOklzc3VlQ29tbWVudDQ0NDQ2OTgwNw==,167802,2018-12-05T12:33:58Z,2018-12-05T12:33:58Z,CONTRIBUTOR,I'm not sure if I need to document anything as this is just a bugfix ?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,387732534
https://github.com/pydata/xarray/issues/1906#issuecomment-368436995,https://api.github.com/repos/pydata/xarray/issues/1906,368436995,MDEyOklzc3VlQ29tbWVudDM2ODQzNjk5NQ==,167802,2018-02-26T09:19:32Z,2018-02-26T09:19:32Z,CONTRIBUTOR,"I'm satisfied with this answer, thanks for taking the time !","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,296673404
https://github.com/pydata/xarray/issues/1906#issuecomment-365284450,https://api.github.com/repos/pydata/xarray/issues/1906,365284450,MDEyOklzc3VlQ29tbWVudDM2NTI4NDQ1MA==,167802,2018-02-13T14:35:02Z,2018-02-13T14:35:02Z,CONTRIBUTOR,"> Also DataArrays can have attributes, so storing them as attributes could lead to quite intricate situations ;)

I agree totally, but when writing to netcdf, I was expecting xarray to take out the DataArrays out of attributes, replace them with their name, and save them as separate array in the netcdf files. But maybe that's not xarray's job do deal with ? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,296673404
https://github.com/pydata/xarray/issues/1614#issuecomment-362529551,https://api.github.com/repos/pydata/xarray/issues/1614,362529551,MDEyOklzc3VlQ29tbWVudDM2MjUyOTU1MQ==,167802,2018-02-02T09:13:38Z,2018-02-02T09:13:38Z,CONTRIBUTOR,This issue is very relevant for me too. I would like to also propose that a user could provide a function that would know how to combine the `attrs` of different DataArrays.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,264049503
https://github.com/pydata/xarray/pull/1751#issuecomment-349583110,https://api.github.com/repos/pydata/xarray/issues/1751,349583110,MDEyOklzc3VlQ29tbWVudDM0OTU4MzExMA==,167802,2017-12-06T09:28:16Z,2017-12-06T09:28:16Z,CONTRIBUTOR,"That looks fantastic @shoyer , looking forward to testing it :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,278325492
https://github.com/pydata/xarray/issues/486#issuecomment-349582067,https://api.github.com/repos/pydata/xarray/issues/486,349582067,MDEyOklzc3VlQ29tbWVudDM0OTU4MjA2Nw==,167802,2017-12-06T09:24:16Z,2017-12-06T09:24:16Z,CONTRIBUTOR,"@shoyer absolutely, I will look into it, soon I hope","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/486#issuecomment-348910192,https://api.github.com/repos/pydata/xarray/issues/486,348910192,MDEyOklzc3VlQ29tbWVudDM0ODkxMDE5Mg==,167802,2017-12-04T09:43:02Z,2017-12-04T09:43:02Z,CONTRIBUTOR,"@jhamman One possibility would be to have a `.resample` on a DataArray (or equivalent independent function) that would be provided also a set of new coordinates, and that would return a new DataArray resampled to the new coordinates. One step further would be to implement this in `sel` or `isel` directly somehow.","{""total_count"": 3, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 3, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/486#issuecomment-348165798,https://api.github.com/repos/pydata/xarray/issues/486,348165798,MDEyOklzc3VlQ29tbWVudDM0ODE2NTc5OA==,167802,2017-11-30T11:47:06Z,2017-11-30T11:47:06Z,CONTRIBUTOR,thanks @shoyer ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/1743#issuecomment-347594411,https://api.github.com/repos/pydata/xarray/issues/1743,347594411,MDEyOklzc3VlQ29tbWVudDM0NzU5NDQxMQ==,167802,2017-11-28T17:11:56Z,2017-11-28T17:11:56Z,CONTRIBUTOR,"@jhamman Same problem rises with a regular numpy array as a source for the DataArray.

The use case I have is spatial resampling: assigning source data pixels to a destination grid. So in the example provided above, `l_indices` and `c_indices` would be the shape of the of the destination grid and tell us which pixels to take from the source data.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,277441150
https://github.com/pydata/xarray/issues/1743#issuecomment-347573516,https://api.github.com/repos/pydata/xarray/issues/1743,347573516,MDEyOklzc3VlQ29tbWVudDM0NzU3MzUxNg==,167802,2017-11-28T16:09:30Z,2017-11-28T16:09:30Z,CONTRIBUTOR,@shoyer this is what I showed you earlier,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,277441150
https://github.com/pydata/xarray/issues/1560#issuecomment-327891893,https://api.github.com/repos/pydata/xarray/issues/1560,327891893,MDEyOklzc3VlQ29tbWVudDMyNzg5MTg5Mw==,167802,2017-09-07T18:55:39Z,2017-09-07T18:55:39Z,CONTRIBUTOR,"Yes, I have the latest version, still takes some time with a 9000x9000 array:
```
In [4]: %time arr.unstack('flat_dim')
CPU times: user 26.1 s, sys: 7.8 s, total: 33.9 s
Wall time: 35.3 s
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,255989233