Native arrays and readers
The raw native-grid arrays a provider returns, and the format readers that decode cached files into them.
| Operation | Kind | Bindings | Summary |
|---|---|---|---|
csv_reader | type | Python, Julia | The active csv reader — a non-NetCDF format behind the same registry. |
ff10_reader | type | Python, Julia, Rust | The active ff10 reader — the RAW long-format FF10 point table. |
geotiff_reader | type | Python, Julia, Rust | The active geotiff reader — raster bands on a native lon/lat grid. |
native_dataset | type | Python, Julia, Rust | The native arrays from one blob: data variables + grid coords. |
native_field | type | Python, Julia, Rust | One native-grid array as a reader decodes it. |
netcdf_reader | type | Python, Julia, Rust | The active netcdf reader, backed by xarray (netCDF4 engine). |
parquet_reader | type | Python, Julia, Rust | The active parquet reader — an Apache Parquet file as a flat table. |
shapefile_reader | type | Python, Julia, Rust | The active shapefile reader — an ESRI shapefile as a feature table. |
zarr_reader | type | Julia, Rust | The zarr store-backed reader (Zarr v2 chunked arrays). |