Method to_dataarray

xarray/core/dataset.py:7147–7182

Convert this dataset into an xarray.DataArray The data variables of this dataset will be broadcast against each other and stacked along the first axis of the new array. All coordinates of this dataset will remain coordinates. Parameters ---------- di

(
        self, dim: Hashable = "variable", name: Hashable | None = None
    )

        return data

    def to_dataarray(
        self, dim: Hashable = "variable", name: Hashable | None = None
    ) -> DataArray:
        """Convert this dataset into an xarray.DataArray

        The data variables of this dataset will be broadcast against each other
        and stacked along the first axis of the new array. All coordinates of
        this dataset will remain coordinates.

        Parameters
        ----------
        dim : Hashable, default: "variable"
            Name of the new dimension.
        name : Hashable or None, optional
            Name of the new data array.

        Returns
        -------
        array : xarray.DataArray
        """
        from xarray.core.dataarray import DataArray

        data_vars = [self.variables[k] for k in self.data_vars]
        broadcast_vars = broadcast_variables(*data_vars)
        data = duck_array_ops.stack([b.data for b in broadcast_vars], axis=0)

        dims = (dim,) + broadcast_vars[0].dims
        variable = Variable(dims, data, self.attrs, fastpath=True)

        coords = {k: v.variable for k, v in self.coords.items()}
        indexes = dict(self._indexes)
        new_dim_index = PandasIndex(list(self.data_vars), dim)
        indexes[dim] = new_dim_index
        coords.update(new_dim_index.create_variables())

        return DataArray._construct_direct(variable, coords, name, indexes)

    def to_array(
        self, dim: Hashable = "variable", name: Hashable | None = None