pyresample.bilinear.xarr module

XArray version of bilinear interpolation.

class pyresample.bilinear.xarr.XArrayBilinearResampler(source_geo_def, target_geo_def, radius_of_influence, neighbours=32, epsilon=0, reduce_data=True)

Bases: BilinearBase

Bilinear interpolation using XArray.

Initialize resampler.

Parameters:

source_geo_def (object) – Geometry definition of source
target_geo_def (object) – Geometry definition of target
radius_of_influence (float) – Cut off distance in meters
neighbours (int, optional) – The number of neigbours to consider for each grid point
epsilon (float, optional) – Allowed uncertainty in meters. Increasing uncertainty reduces execution time
reduce_data (bool, optional) – Perform initial coarse reduction of source dataset in order to reduce execution time

_add_missing_coordinates(data)

_add_x_and_y_coordinates()

_adjust_bands_coordinates_to_match_data(data_coords)

_create_empty_bil_info(): Create dummy info for empty result set.

_finalize_output_data(data, res, fill_value)

_get_input_xy()

_get_output_dims(data, res)

_get_output_xy()

_get_target_proj_vectors()

_get_valid_input_index_and_input_coords()

_limit_output_values_to_input(data, res, fill_value)

_reshape_to_target_area(res, ndim)

_slice_data(data, fill_value)

load_resampling_info(filename): Load bilinear resampling look-up tables and initialize the resampler.

resample(data, fill_value=None, nprocs=1): Resample the given data.

save_resampling_info(filename): Save bilinear resampling look-up tables.

class pyresample.bilinear.xarr.XArrayResamplerBilinear(source_geo_def, target_geo_def, radius_of_influence, **kwargs)

Bases: XArrayBilinearResampler

Wrapper for the old resampler class.

Initialize resampler.

__init__(source_geo_def, target_geo_def, radius_of_influence, **kwargs): Initialize resampler.

pyresample.bilinear.xarr._check_data_shape(data, input_xy_shape): Check data shape and adjust if necessary.

pyresample.bilinear.xarr._get_input_xy(source_geo_def, proj, valid_input_index, index_array): Get x/y coordinates for the input area and reduce the data.

pyresample.bilinear.xarr._get_output_xy(target_geo_def)

pyresample.bilinear.xarr._get_raveled_lonlats(geo_def)

pyresample.bilinear.xarr._get_valid_input_index(source_geo_def, target_geo_def, reduce_data, radius_of_influence): Find indices of reduced input data.