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  • rabernat · 1 ✖

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  • MODIS L2 Data Missing Data Variables and Geolocation Data · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1373993285 https://github.com/pydata/xarray/issues/3996#issuecomment-1373993285 https://api.github.com/repos/pydata/xarray/issues/3996 IC_kwDOAMm_X85R5XlF rabernat 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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   MODIS L2 Data Missing Data Variables and Geolocation Data 605608998

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