eoio.processors.populate_grid.processor module

eoio.processors.populate_grid.processor

Top-level populate_grid processor.

This processor provides a single, stable user-facing interface (populate_grid).

User config example

processors= {

“populate_grid”: {

“reference_grid”: “path/to/reference_grid.nc”, “fill_value”: None, “tolerance”: 1

},

}

class eoio.processors.populate_grid.processor.PopulateGrid(params: Dict[str, Any] | None = None, context: Dict[str, Any] | None = None)

Bases: BaseProcessor

Fill dataset with fill value to match shape of a given reference viewing geometry grid.

Processor parameters

The following parameters can be provided in the params dict:

param reference_grid:

str or xarray.Dataset Reference grid used to determine where values should be filled. This may be a filepath or an explicit Dataset. The data_vars should be the variables to fill along and the coordinates of these variables should match those in the dataset to be processed.

param dims_to_populate:

str or List of str, optional Variables of reference grid to populate. If None, all variables in reference grid will be used.

param fill_value:

float, int, or None, optional Value to use for filled locations when interpolation is not requested. If None, the data will be filled with nans.

param tolerance:

float or None, optional Value to use to search for matching viewing angles. If None, infinite range is used, the same idea as ‘nearest’ interpolation.

Notes

• This processor is intended to run after reading.

name = 'populate_grid'

regrid_series(ds: Dataset, reference_grid: Dataset, dims_to_populate: list) → Dataset

run(ds: Dataset) → Dataset

Run populate_grid processor on the dataset.

Parameters:

ds – Input dataset.

Returns:

Output dataset with filled variables.

class eoio.processors.populate_grid.processor.PopulateGridConfig(reference_grid: str | Dataset | None, dims_to_populate: str | list[str] | None, fill_value: None | float | int = None, tolerance: float | None = 1)

Bases: object

Parameters for the populate_grid processor.

dims_to_populate: str | list[str] | None

fill_value: None | float | int = None

reference_grid: str | Dataset | None

tolerance: float | None = 1