issue_comments: 808747264
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| 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/5075#issuecomment-808747264 | https://api.github.com/repos/pydata/xarray/issues/5075 | 808747264 | MDEyOklzc3VlQ29tbWVudDgwODc0NzI2NA== | 18444902 | 2021-03-27T15:10:59Z | 2021-03-27T15:10:59Z | NONE | Below my code ``` import geopandas import rioxarray from geocube.api.core import make_geocube Read input_vector and create a GeoDataFramevector_in = geopandas.read_file(input_vector) Read raster dataraster_in = rioxarray.open_rasterio(input_raster) Create GeoCubeout_grid = make_geocube( vector_data=vector_in, measurements=["id"], like=raster_in, ) out_grid.to_netcdf("rasterized_vector.nc") Add raster_in to geocubeout_grid["process_value"] = raster_in out_grid.to_netcdf("out_grid_process_value.nc") ``` Here there are two netCDF with output data. |
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