id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1325761961,I_kwDOAMm_X85PBYWp,6867,The Dataset.rename_dims creates a new dimension without coordinates,54382968,closed,0,,,2,2022-08-02T12:11:41Z,2022-09-28T17:48:14Z,2022-09-28T17:48:09Z,NONE,,,,"### What is your issue?

The documentation says `Dataset.rename_dims` will returns a new object with renamed dimensions only. In my work I am intended to rename the longitude and latitude dimensions: `ds = ds.rename_dims(longitude='lon', latitude='lat')`. But it turned out that a new dimension `lon` was created with values from 0 to its length minus 1. Is this result the expected behaviour of `rename_dims`, or I misused this method?

A simple case below:

```Python
import numpy as np
import xarray as xr

da = xr.DataArray([1, 2, 3], coords=[('space', list('abc'))])
ds = xr.Dataset({'x': da})
```

The information of `ds` in repl is

```
<xarray.Dataset>
Dimensions:  (space: 3)
Coordinates:
  * space    (space) <U1 'a' 'b' 'c'
Data variables:
    x        (space) int32 1 2 3
```

But after `ds = ds.rename_dims(space='label')`

```
<xarray.Dataset>
Dimensions:  (label: 3)
Coordinates:
    space    (label) <U1 'a' 'b' 'c'
Dimensions without coordinates: label
Data variables:
    x        (label) int32 1 2 3
```

`space` became a non-coordinate dimension, and `label` was created as a new dimension without coordinates.

 Environment:
numpy : 1.22.3
pandas : 1.4.2
xarray : 2022.3.0","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6867/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue