Comments (2)
Thanks for raising the issue! Looks like there is a serialization issue with dask_histogram.boost.Histogram
. I'll start looking into it today. In the meantime the collection interface is working with the distributed scheduler:
h = dh.factory(
x,
axes=(dh.axis.Regular(10, -3, 3), dh.axis.Regular(10, -3, 3)),
storage=dh.storage.Double(),
)
h.compute()
from dask-histogram.
Just merged #7 -- it fixes the snippet that caused the error. Feel free to re-open if the issue persists. Thanks!
from dask-histogram.
Related Issues (12)
- Document return types for histogram, histogram2d, and histogramdd
- histgram filling not reproducible except in "processes" scheduler? HOT 28
- Return empty histogram on `compute()` if there are no staged fills HOT 1
- Merge results with a tree reduction. HOT 1
- feature request: Filling really large histograms that are distributed across a cluster. HOT 2
- bug: dask histograms are not recognized as `compute`-able
- Support dask-awkward inputs with weights HOT 3
- Feature request: support float weights for histograms HOT 2
- dask_histogram creates MaterializedLayers which are slow to optimize over multiple partitions HOT 1
- copied hist will retain the original name after computing it HOT 6
- Mean storage for histograms HOT 2
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from dask-histogram.