def _create_new_weights_cube(self, cube, weights):
"""Create a cube to contain the output of the interpolation.
It is currently assumed that the output weights matches the size
of the input cube.
Args:
cube (iris.cube.Cube):
Cube containing the coordinate information that will be used
for setting up the new_weights_cube.
weights (np.ndarray):
Weights calculated following interpolation.
Returns:
new_weights_cube (iris.cube.Cube):
Cube containing the output from the interpolation. This has
the same shape as "cube", without the x and y dimensions.
"""
cubelist = iris.cube.CubeList([])
for cube_slice, weight in (zip(
cube.slices_over(self.weighting_coord_name), weights)):
sub_slice = cube_slice[..., 0, 0]
sub_slice.remove_coord(sub_slice.coord(axis='x'))
sub_slice.remove_coord(sub_slice.coord(axis='y'))
sub_slice.data = np.ones(sub_slice.data.shape) * weight
cubelist.append(sub_slice)
new_weights_cube = (check_cube_coordinates(cube[..., 0, 0],
cubelist.merge_cube()))
new_weights_cube.rename(self.weights_key_name)
return new_weights_cube
def _create_new_weights_cube(self, cube, weights):
"""Create a cube to contain the output of the interpolation.
It is currently assumed that the output weights matches the size
of the input cube.
Args:
cube (iris.cube.Cube):
Cube containing the coordinate information that will be used
for setting up the new_weights_cube.
weights (numpy.ndarray):
Weights calculated following interpolation.
Returns:
iris.cube.Cube:
Cube containing the output from the interpolation. This has
the same shape as "cube", without the x and y dimensions.
"""
cubelist = iris.cube.CubeList([])
for cube_slice, weight in zip(
cube.slices_over(self.weighting_coord_name), weights
):
sub_slice = cube_slice[..., 0, 0]
sub_slice.data = np.ones(sub_slice.data.shape) * weight
cubelist.append(sub_slice)
# re-order dimension coordinates to match input cube
new_weights_cube = check_cube_coordinates(
cube[..., 0, 0], cubelist.merge_cube()
)
# remove all scalar coordinates that are not time-, model- or
# blend-related
dim_coords = new_weights_cube.coords(dim_coords=True)
keep_coords = [
"time",
"forecast_period",
"forecast_reference_time",
MODEL_BLEND_COORD,
MODEL_NAME_COORD,
self.weighting_coord_name,
self.config_coord_name,
]
for coord in new_weights_cube.coords():
if coord not in dim_coords and coord.name() not in keep_coords:
new_weights_cube.remove_coord(coord)
# remove attributes
new_weights_cube.attributes = {}
# rename cube
new_weights_cube.rename(self.weights_key_name)
new_weights_cube.units = cf_units.Unit("1")
return new_weights_cube