satpy.resample.base module

Base resampling functionality.

satpy.resample.base._check_resampler_class(resampler_class, resampler)

satpy.resample.base._get_fill_value(dataset)

Get the fill value of the dataset, defaulting to np.nan.

satpy.resample.base._get_resampler_classes_from_module(import_path)

satpy.resample.base._hash_dict(the_dict, the_hash=None)

Calculate a hash for a dictionary.

satpy.resample.base._update_resampled_coords(old_data, new_data, new_area)

Add coordinate information to newly resampled DataArray.

Parameters:

• old_data (xarray.DataArray) – Old data before resampling.

• new_data (xarray.DataArray) – New data after resampling.

• new_area (pyresample.geometry.BaseDefinition) – Area definition for the newly resampled data.

satpy.resample.base.get_all_resampler_classes()

Get all available resampler classes.

satpy.resample.base.prepare_resampler(source_area, destination_area, resampler=None, **resample_kwargs)

Instantiate and return a resampler.

satpy.resample.base.resample(source_area, data, destination_area, resampler=None, **kwargs)

Do the resampling.

satpy.resample.base.resample_dataset(dataset, destination_area, **kwargs)

Resample dataset and return the resampled version.

Parameters:

• dataset (xarray.DataArray) – Data to be resampled.

• destination_area – The destination onto which to project the data, either a full blown area definition or a string corresponding to the name of the area as defined in the area file.

• **kwargs – The extra parameters to pass to the resampler objects.

Returns:

A resampled DataArray with updated .attrs["area"] field. The dtype of the array is preserved.