/xarray-for-multidimensional-data

Xarray for Multidimensional Data

Work with labeled multidimensional arrays using Xarray.

Arguments

$ARGUMENTS — describe the task (e.g., "read this NetCDF file", "analyze climate data", "set up Dask chunking for large dataset")

Workflow

1. Understand the task from the arguments:

   • NetCDF/HDF5/Zarr I/O
   • DataArray and Dataset operations
   • Dask integration for large datasets
   • Climate/satellite/oceanographic analysis
   • Geospatial raster operations (rioxarray)
   • DataTree for hierarchical data

2. Explore existing data and code:

   • Check for data files (*.nc, *.zarr, *.hdf5)
   • Identify dimensions, coordinates, and variables
   • Assess data size for chunking strategy

3. Implement using Xarray best practices:

   • Named dimensions and coordinates
   • Proper chunking for out-of-core computation
   • Lazy evaluation with Dask where appropriate
   • CF conventions for metadata

4. Verify results and performance.

5. Report results including data structure and any performance considerations.