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/7456#issuecomment-1397549856,https://api.github.com/repos/pydata/xarray/issues/7456,1397549856,IC_kwDOAMm_X85TTOsg,45972964,2023-01-19T20:21:12Z,2023-01-19T23:54:29Z,NONE,"EDIT: Lots of confusion below about nothing, plz disregard

Okay, regardless of expected behavior here, my particular use-case *requires* that I transpose these dimensions. Can someone show me a way to do this? I tried to explain the xarray point of view to Keras, but Keras is really not interested ;)

I tried something like `ds.expand_dims(""sample"").transpose('sample','nlat','nlon')` to complete futility, probably something to do with the `Frozen` stuff if I had to guess.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397648400,https://api.github.com/repos/pydata/xarray/issues/7456,1397648400,IC_kwDOAMm_X85TTmwQ,45972964,2023-01-19T21:45:24Z,2023-01-19T21:45:24Z,NONE,"I was thinking something like this:

```
    da = xr.DataArray([[1,2,3],[4,5,6],[7,8,9]], coords={'a':[1,2,3], 'b':[1,2,3]})
    ds = xr.Dataset({'da':da})
    ds1 = ds.expand_dims('yomama', axis=0)
    print(ds1[0].dims)
    ds2 = ds.expand_dims('yomama', axis=2)
    print(ds2[0].dims)
```

...but this throws an error (like it should). I think I must be reading my code wrong lol","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397633052,https://api.github.com/repos/pydata/xarray/issues/7456,1397633052,IC_kwDOAMm_X85TTjAc,45972964,2023-01-19T21:29:10Z,2023-01-19T21:29:10Z,NONE,"Okay I think I get the philosophy now. However, indexing a DataSet with an integer actually *does* work. If performance is the goal, shouldn't something like `ds[0]` throw a warning or an error?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397588476,https://api.github.com/repos/pydata/xarray/issues/7456,1397588476,IC_kwDOAMm_X85TTYH8,45972964,2023-01-19T20:49:52Z,2023-01-19T20:53:29Z,NONE,"Nvm, my use case isn't what I thought it was, but I'll push the issue a bit.

So I'm not disputing anything about what these functions actually do now, the issue I have is that the functions here treat the dimension order of a DataSet as if it's arbitrary, but calling `[]` on a DataSet slices it in a decidedly non-arbitrary way. It turns out that `[]` actually *does* care about which axis you select if you call `expand_dims` first, and you index with an integer like `[0]`. I think this inconsistency is what's confusing to me atm.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397408991,https://api.github.com/repos/pydata/xarray/issues/7456,1397408991,IC_kwDOAMm_X85TSsTf,45972964,2023-01-19T18:13:16Z,2023-01-19T18:13:16Z,NONE,"Yeah, I could put something together. It'll probably have to wait until next week though.","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397292416,https://api.github.com/repos/pydata/xarray/issues/7456,1397292416,IC_kwDOAMm_X85TSP2A,45972964,2023-01-19T16:49:58Z,2023-01-19T16:52:33Z,NONE,"I mean that's fine, but in that case, the documentation is very misleading ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645