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
344614881,MDU6SXNzdWUzNDQ2MTQ4ODE=,2313,Example on using `preprocess` with `mfdataset`,2448579,open,0,,,6,2018-07-25T21:31:34Z,2023-03-14T12:35:00Z,,MEMBER,,,,"I wrote this little notebook today while trying to get some satellite data in form that was nice to work with: https://gist.github.com/dcherian/66269bc2b36c2bc427897590d08472d7

I think it would make a useful example for the docs.

A few questions:
1. Do you think it'd be a good addition to the examples?
2. Is this the recommended way of adding meaningful co-ordinates, expanding dims etc.? The main bit is this function:
``` 
def preprocess(ds):

        dsnew = ds.copy()
        dsnew['latitude'] = xr.DataArray(np.linspace(90, -90, 180),
                                         dims=['phony_dim_0'])
        dsnew['longitude'] = xr.DataArray(np.linspace(-180, 180, 360),
                                          dims=['phony_dim_1'])
        dsnew = (dsnew.rename({'l3m_data': 'sss',
                               'phony_dim_0': 'latitude',
                               'phony_dim_1': 'longitude'})
                 .set_coords(['latitude', 'longitude'])
                 .drop('palette'))

        dsnew['time'] = (pd.to_datetime(dsnew.attrs['time_coverage_start'])
                         + np.timedelta64(3, 'D') + np.timedelta64(12, 'h'))
        dsnew = dsnew.expand_dims('time').set_coords('time')

        return dsnew
```

Also open to other feedback...","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2313/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue