Function determine_coords

xarray/structure/merge.py:473–508

Given a list of dicts with xarray object values, identify coordinates. Parameters ---------- list_of_mappings : list of dict or list of Dataset Of the same form as the arguments to expand_variable_dicts. Returns ------- coord_names : set of variable names noncoo

(
    list_of_mappings: Iterable[DatasetLike],
)

def determine_coords(
    list_of_mappings: Iterable[DatasetLike],
) -> tuple[set[Hashable], set[Hashable]]:
    """Given a list of dicts with xarray object values, identify coordinates.

    Parameters
    ----------
    list_of_mappings : list of dict or list of Dataset
        Of the same form as the arguments to expand_variable_dicts.

    Returns
    -------
    coord_names : set of variable names
    noncoord_names : set of variable names
        All variable found in the input should appear in either the set of
        coordinate or non-coordinate names.
    """
    from xarray.core.dataarray import DataArray
    from xarray.core.dataset import Dataset

    coord_names: set[Hashable] = set()
    noncoord_names: set[Hashable] = set()

    for mapping in list_of_mappings:
        if isinstance(mapping, Dataset):
            coord_names.update(mapping.coords)
            noncoord_names.update(mapping.data_vars)
        else:
            for name, var in mapping.items():
                if isinstance(var, DataArray):
                    coords = set(var._coords)  # use private API for speed
                    # explicitly overwritten variables should take precedence
                    coords.discard(name)
                    coord_names.update(coords)

    return coord_names, noncoord_names


def coerce_pandas_values(objects: Iterable[CoercibleMapping]) -> list[DatasetLike]: