Function nancumsum

dask/array/reductions.py:217–239

Dask added an additional keyword-only argument ``method``. method : {'sequential', 'blelloch'}, optional Choose which method to use to perform the cumsum. Default is 'sequential'. * 'sequential' performs the cumsum of each prior block before the current block. * 'blell

(x, axis, dtype=None, out=None, *, method="sequential")

@derived_from(np)
def nancumsum(x, axis, dtype=None, out=None, *, method="sequential"):
    """Dask added an additional keyword-only argument ``method``.

    method : {'sequential', 'blelloch'}, optional
        Choose which method to use to perform the cumsum.  Default is 'sequential'.

        * 'sequential' performs the cumsum of each prior block before the current block.
        * 'blelloch' is a work-efficient parallel cumsum.  It exposes parallelism by
            first taking the sum of each block and combines the sums via a binary tree.
            This method may be faster or more memory efficient depending on workload,
            scheduler, and hardware.  More benchmarking is necessary.
    """
    return cumreduction(
        chunk.nancumsum,
        operator.add,
        0,
        x,
        axis,
        dtype,
        out=out,
        method=method,
        preop=np.nansum,
    )


@derived_from(np)