Class IndexSelResult

xarray/core/indexing.py:53–95

Index query results. Attributes ---------- dim_indexers: dict A dictionary where keys are array dimensions and values are location-based indexers. indexes: dict, optional New indexes to replace in the resulting DataArray or Dataset. variables : dict, opti

@dataclass
class IndexSelResult:
    """Index query results.

    Attributes
    ----------
    dim_indexers: dict
        A dictionary where keys are array dimensions and values are
        location-based indexers.
    indexes: dict, optional
        New indexes to replace in the resulting DataArray or Dataset.
    variables : dict, optional
        New variables to replace in the resulting DataArray or Dataset.
    drop_coords : list, optional
        Coordinate(s) to drop in the resulting DataArray or Dataset.
    drop_indexes : list, optional
        Index(es) to drop in the resulting DataArray or Dataset.
    rename_dims : dict, optional
        A dictionary in the form ``{old_dim: new_dim}`` for dimension(s) to
        rename in the resulting DataArray or Dataset.

    """

    dim_indexers: dict[Any, Any]
    indexes: dict[Any, Index] = field(default_factory=dict)
    variables: dict[Any, Variable] = field(default_factory=dict)
    drop_coords: list[Hashable] = field(default_factory=list)
    drop_indexes: list[Hashable] = field(default_factory=list)
    rename_dims: dict[Any, Hashable] = field(default_factory=dict)

    def as_tuple(self):
        """Unlike ``dataclasses.astuple``, return a shallow copy.

        See https://stackoverflow.com/a/51802661

        """
        return (
            self.dim_indexers,
            self.indexes,
            self.variables,
            self.drop_coords,
            self.drop_indexes,
            self.rename_dims,
        )


def merge_sel_results(results: list[IndexSelResult]) -> IndexSelResult: