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/3996#issuecomment-1373993285,https://api.github.com/repos/pydata/xarray/issues/3996,1373993285,IC_kwDOAMm_X85R5XlF,1197350,2023-01-06T18:36:56Z,2023-01-06T18:47:48Z,MEMBER,"We found a nice solution to this using @TomNicholas's Datatree
```python
import xarray as xr
import datatree
dt = datatree.open_datatree(""AQUA_MODIS.20220809T182500.L2.OC.nc"")
def fix_dimension_names(ds):
if 'pixel_control_points' in ds.dims:
ds = ds.swap_dims({'pixel_control_points': 'pixels_per_line'})
return ds
dt_fixed = dt.map_over_subtree(fix_dimension_names)
all_dsets = [subtree.ds for node, subtree in dt_fixed.items()]
ds = xr.merge(all_dsets, combine_attrs=""drop_conflicts"")
ds = ds.set_coords(['latitude', 'longitude'])
ds.chlor_a.plot(x=""longitude"", y=""latitude"", robust=True)
```
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