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/1739#issuecomment-554600952,https://api.github.com/repos/pydata/xarray/issues/1739,554600952,MDEyOklzc3VlQ29tbWVudDU1NDYwMDk1Mg==,5635139,2019-11-16T03:48:19Z,2019-11-16T03:48:19Z,MEMBER,"OK great. We can meditate on it for a while, no great rush! Thanks for engaging.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,276241764
https://github.com/pydata/xarray/issues/1739#issuecomment-554592920,https://api.github.com/repos/pydata/xarray/issues/1739,554592920,MDEyOklzc3VlQ29tbWVudDU1NDU5MjkyMA==,5635139,2019-11-16T02:01:08Z,2019-11-16T02:01:08Z,MEMBER,"> we would either have to raise an error or automatically transpose the second variable. Neither option sounds great to me.

Agree, I was thinking we'd transpose the second one, but fair if you think too invasive

> Perhaps this could be relaxed now that Python's `dict` always preserves the order in which items are added.

Ah OK. If we relaxed that, what would the order be? Just the order they were initially added, and so at least consistent through time (though not necessarily with the variables)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,276241764
https://github.com/pydata/xarray/issues/1739#issuecomment-554581481,https://api.github.com/repos/pydata/xarray/issues/1739,554581481,MDEyOklzc3VlQ29tbWVudDU1NDU4MTQ4MQ==,5635139,2019-11-16T00:28:37Z,2019-11-16T00:28:37Z,MEMBER,"What do we think about attempting to enforce a dimension order throughout the dataset? That would solve these issues for free. 

We already have _some_ order in `.dims` & `.sizes`. Could we transpose all dimensions to that ordering after any operation?

(Maybe this doesn't need to be _strictly_ enforced, but we'd at least set the expectation that dimensions could be reordered to that dimension order at any time)

Or are there uses to having different dimension order throughout a dataset?

```python
In [45]: ds
Out[45]:
<xarray.Dataset>
Dimensions:  (lat: 25, lon: 53, time: 2920)
Coordinates:
  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
Data variables:
    air      (time, lat, lon) float32 ...
Attributes:
    Conventions:  COARDS
    title:        4x daily NMC reanalysis (1948)
    description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
    platform:     Model
    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...

In [46]: ds.dims
Out[46]: Frozen(SortedKeysDict({'lat': 25, 'time': 2920, 'lon': 53}))

In [47]: ds.sizes
Out[47]: Frozen(SortedKeysDict({'lat': 25, 'time': 2920, 'lon': 53}))
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,276241764