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) ``` ![image](https://user-images.githubusercontent.com/1197350/211076797-1c53f08c-4359-40a2-a409-d748e20b7da1.png) ","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,605608998