def to_dict(
        self, data: bool | Literal["list", "array"] = "list", encoding: bool = False
    ) -> dict[str, Any]:
        """
        Convert this xarray.DataArray into a dictionary following xarray
        naming conventions.

        Converts all variables and attributes to native Python objects.
        Useful for converting to json. To avoid datetime incompatibility
        use decode_times=False kwarg in xarray.open_dataset.

        Parameters
        ----------
        data : bool or {"list", "array"}, default: "list"
            Whether to include the actual data in the dictionary. When set to
            False, returns just the schema. If set to "array", returns data as
            underlying array type. If set to "list" (or True for backwards
            compatibility), returns data in lists of Python data types. Note
            that for obtaining the "list" output efficiently, use
            `da.compute().to_dict(data="list")`.

        encoding : bool, default: False
            Whether to include the Dataset's encoding in the dictionary.

        Returns
        -------
        dict: dict

        See Also
        --------
        DataArray.from_dict
        Dataset.to_dict
        """
        d = self.variable.to_dict(data=data)
        d.update({"coords": {}, "name": self.name})
        for k, coord in self.coords.items():
            d["coords"][k] = coord.variable.to_dict(data=data)
        if encoding:
            d["encoding"] = dict(self.encoding)
        return d

        Convert this xarray.DataArray into a dictionary following xarray
        naming conventions.

        Converts all variables and attributes to native Python objects.
        Useful for converting to json. To avoid datetime incompatibility
        use decode_times=False kwarg in xarray.open_dataset.

        Parameters
        ----------
        data : bool or {"list", "array"}, default: "list"
            Whether to include the actual data in the dictionary. When set to
            False, returns just the schema. If set to "array", returns data as
            underlying array type. If set to "list" (or True for backwards
            compatibility), returns data in lists of Python data types. Note
            that for obtaining the "list" output efficiently, use
            `da.compute().to_dict(data="list")`.

        encoding : bool, default: False
            Whether to include the Dataset's encoding in the dictionary.

        Returns
        -------
        dict: dict

        See Also
        --------
        DataArray.from_dict
        Dataset.to_dict
        
xarray/core/dataarray.py