Method persist

xarray/core/dataarray.py:1249–1272

Trigger computation in constituent dask arrays This keeps them as dask arrays but encourages them to keep data in memory. This is particularly useful when on a distributed machine. When on a single machine consider using ``.compute()`` instead. Like compute (but unl

(self, **kwargs)

        return new.load(**kwargs)

    def persist(self, **kwargs) -> Self:
        """Trigger computation in constituent dask arrays

        This keeps them as dask arrays but encourages them to keep data in
        memory.  This is particularly useful when on a distributed machine.
        When on a single machine consider using ``.compute()`` instead.
        Like compute (but unlike load), the original dataset is left unaltered.

        Parameters
        ----------
        **kwargs : dict
            Additional keyword arguments passed on to ``dask.persist``.

        Returns
        -------
        object : DataArray
            New object with all dask-backed data and coordinates as persisted dask arrays.

        See Also
        --------
        dask.persist
        """
        ds = self._to_temp_dataset().persist(**kwargs)
        return self._from_temp_dataset(ds)

    def copy(self, deep: bool = True, data: Any = None) -> Self:
        """Returns a copy of this array.