Method to_dask_array

dask/dataframe/dask_expr/_collection.py:1389–1428

Convert a dask DataFrame to a dask array. Parameters ---------- lengths : bool or Sequence of ints, optional How to determine the chunks sizes for the output array. By default, the output array will have unknown chunk lengths along the fir

(
        self, lengths=None, meta=None, optimize: bool = True, **optimize_kwargs
    )

            )

    def to_dask_array(
        self, lengths=None, meta=None, optimize: bool = True, **optimize_kwargs
    ) -> Array:
        """Convert a dask DataFrame to a dask array.

        Parameters
        ----------
        lengths : bool or Sequence of ints, optional
            How to determine the chunks sizes for the output array.
            By default, the output array will have unknown chunk lengths
            along the first axis, which can cause some later operations
            to fail.

            * True : immediately compute the length of each partition
            * Sequence : a sequence of integers to use for the chunk sizes
              on the first axis. These values are *not* validated for
              correctness, beyond ensuring that the number of items
              matches the number of partitions.
        meta : object, optional
            An optional `meta` parameter can be passed for dask to override the
            default metadata on the underlying dask array.
        optimize : bool
            Whether to optimize the expression before converting to an Array.

        Returns
        -------
        A Dask Array
        """
        if lengths is True:
            lengths = tuple(self.map_partitions(len).compute())

        arr = self.values

        chunks = self._validate_chunks(arr, lengths)
        arr._chunks = chunks

        if meta is not None:
            arr._meta = meta

        return arr

    @property
    def values(self):