Function nanmean

dask/array/reductions.py:405–421

(a, axis=None, dtype=None, keepdims=False, split_every=None, out=None)

@derived_from(np)
def nanmean(a, axis=None, dtype=None, keepdims=False, split_every=None, out=None):
    if dtype is not None:
        dt = dtype
    else:
        dt = getattr(np.mean(np.ones(shape=(1,), dtype=a.dtype)), "dtype", object)
    return reduction(
        a,
        partial(mean_chunk, sum=chunk.nansum, numel=nannumel),
        mean_agg,
        axis=axis,
        keepdims=keepdims,
        dtype=dt,
        split_every=split_every,
        out=out,
        concatenate=False,
        combine=partial(mean_combine, sum=chunk.nansum, numel=nannumel),
    )


def moment_chunk(