Method reduce

xarray/core/datatree.py:2221–2252

Reduce this tree by applying `func` along some dimension(s).

(
        self,
        func: Callable,
        dim: Dims = None,
        *,
        keep_attrs: bool | None = None,
        keepdims: bool = False,
        numeric_only: bool = False,
        **kwargs: Any,
    )

        return all_dims

    def reduce(
        self,
        func: Callable,
        dim: Dims = None,
        *,
        keep_attrs: bool | None = None,
        keepdims: bool = False,
        numeric_only: bool = False,
        **kwargs: Any,
    ) -> Self:
        """Reduce this tree by applying `func` along some dimension(s)."""
        dims = parse_dims_as_set(dim, self._get_all_dims())
        result = {}
        for path, node in self.subtree_with_keys:
            reduce_dims = [d for d in node._node_dims if d in dims]

            # Prefer Dataset.func(...) over Dataset.reduce(func, ...),
            # because Dataset.func(...) may do further func-specific processing:
            f = getattr(node.dataset, func.__name__, None)
            if f:
                node_result = f(reduce_dims, keep_attrs=keep_attrs, **kwargs)
            else:
                node_result = node.dataset.reduce(
                    func,
                    reduce_dims,
                    keep_attrs=keep_attrs,
                    keepdims=keepdims,
                    numeric_only=numeric_only,
                    **kwargs,
                )
            result[path] = node_result
        return type(self).from_dict(result, name=self.name)

    def _selective_indexing(
        self,