eoio.readers.subset.wavelength_subset module

Future notes:

indices_wav never none, if data is empty [] the indices_way []. but not None ds[“wavelength”].size returns scalar value np.arange() create evenly sample index array with step = 1 np.arrange(3) -> [0, 1, 2]

ds[“wavelength”].size returns tuple(2, 7) # do a check it is a scalar raise NotImplemented np.arrange(2, 7) -> [2, 3, 4, 5, 6]

Is ds[‘wavelength] always 1D? # to make sense it should be either already idx list or it should be number of the wavelenghts

Create for 2D

class eoio.readers.subset.wavelength_subset.WavelengthSubsetResolver(data: Any, variable_params: Dict)

Bases: BaseSubsetResolver

Resolves wavelength indices for subsetting raster data.

Parameters:

• data – Wavelength data (e.g., xarray DataArray). Data is expected to be an xarray-like object with .values, .size, and .dims.

• wavelength_params – Dictionary specifying wavelength selection criteria: * {‘min’: 200} * {‘max’: 600} * {‘nearest’: 450, ‘tolerance’: 20} * {‘min’: 200, ‘max’: 600}

Returns WavelengthSubsetResolver:

An instance ready to compute wavelength subsets.