Source code for improver.utilities.load

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"""Module for loading cubes."""

from typing import List, Optional, Union

import iris
from iris import Constraint
from iris.cube import Cube, CubeList

from improver.utilities.cube_manipulation import (
    MergeCubes,
    enforce_coordinate_ordering,
    strip_var_names,
)


[docs]def load_cubelist( filepath: Union[str, List[str]], constraints: Optional[Union[Constraint, str]] = None, no_lazy_load: bool = False, ) -> CubeList: """Load cubes from filepath(s) into a cubelist. Strips off all var names except for "threshold"-type coordinates, where this is different from the standard or long name. Args: filepath: Filepath(s) that will be loaded. constraints: Constraint to be applied when loading from the input filepath. This can be in the form of an iris.Constraint or could be a string that is intended to match the name of the cube. The default is None. no_lazy_load: If True, bypass cube deferred (lazy) loading and load the whole cube into memory. This can increase performance at the cost of memory. If False (default) then lazy load. Returns: CubeList that has been created from the input filepath given the constraints provided. """ # Remove legacy metadata prefix cube if present constraints = ( iris.Constraint(cube_func=lambda cube: cube.long_name != "prefixes") & constraints ) # Load each file individually to avoid partial merging (not used # iris.load_raw() due to issues with time representation) if isinstance(filepath, str): cubes = iris.load(filepath, constraints=constraints) else: cubes = iris.cube.CubeList([]) for item in filepath: cubes.extend(iris.load(item, constraints=constraints)) if not cubes: message = "No cubes found using constraints {}".format(constraints) raise ValueError(message) # Remove var_name from cubes and coordinates (except where needed to # describe probabilistic data) cubes = strip_var_names(cubes) for cube in cubes: # Remove metadata attributes pointing to legacy prefix cube cube.attributes.pop("bald__isPrefixedBy", None) # Ensure the probabilistic coordinates are the first coordinates within # a cube and are in the specified order. enforce_coordinate_ordering(cube, ["realization", "percentile", "threshold"]) # Ensure the y and x dimensions are the last within the cube. y_name = cube.coord(axis="y").name() x_name = cube.coord(axis="x").name() enforce_coordinate_ordering(cube, [y_name, x_name], anchor_start=False) if no_lazy_load: # Force cube's data into memory by touching the .data attribute. cube.data return cubes
[docs]def load_cube( filepath: Union[str, List[str]], constraints: Optional[Union[Constraint, str]] = None, no_lazy_load: bool = False, ) -> Cube: """Load the filepath provided using Iris into a cube. Strips off all var names except for "threshold"-type coordinates, where this is different from the standard or long name. Args: filepath: Filepath that will be loaded or list of filepaths that can be merged into a single cube. constraints: Constraint to be applied when loading from the input filepath. This can be in the form of an iris.Constraint or could be a string that is intended to match the name of the cube. The default is None. no_lazy_load: If True, bypass cube deferred (lazy) loading and load the whole cube into memory. This can increase performance at the cost of memory. If False (default) then lazy load. Returns: Cube that has been loaded from the input filepath given the constraints provided. """ cubes = load_cubelist(filepath, constraints, no_lazy_load) # Merge loaded cubes if len(cubes) == 1: cube = cubes[0] else: cube = MergeCubes()(cubes) return cube