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/pull/4979#issuecomment-790936823,https://api.github.com/repos/pydata/xarray/issues/4979,790936823,MDEyOklzc3VlQ29tbWVudDc5MDkzNjgyMw==,8699967,2021-03-04T20:58:29Z,2021-03-04T20:58:29Z,CONTRIBUTOR,"For reference for how rioxarray does things: https://corteva.github.io/rioxarray/stable/getting_started/crs_management.html
```
>>> import xarray, rioxarray
>>> xda = xarray.DataArray(1)
>>> xda.rio.write_crs(4326, inplace=True)
array(1)
Coordinates:
spatial_ref int64 0
Attributes:
grid_mapping: spatial_ref
>>> xda.spatial_ref
array(0)
Coordinates:
spatial_ref int64 0
Attributes:
crs_wkt: GEOGCS[""WGS 84"",DATUM[""WGS_1984"",SPHEROID[""...
semi_major_axis: 6378137.0
semi_minor_axis: 6356752.314245179
inverse_flattening: 298.257223563
reference_ellipsoid_name: WGS 84
longitude_of_prime_meridian: 0.0
prime_meridian_name: Greenwich
geographic_crs_name: WGS 84
grid_mapping_name: latitude_longitude
spatial_ref: GEOGCS[""WGS 84"",DATUM[""WGS_1984"",SPHEROID[""...
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,819062172