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  • xarray · 1 ✖
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` dcherian 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...

 
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     xarray 13221727 issue

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