Hmm. I am thinking maybe a few approaches.
1. Use "unlimited" dimensions for those dimensions that have variable size,
2. Define row-dim to be max of all your rows and then se row-oriented
rows use more chunks. Shorter rows use fewer
3. Maybe you could do this with 'virtual datasets' where each row is a
separate HDF5 dataset and another, virtual dataset, knits them all together,
Hope that helps.
Mark C. Miller, LLNL
on behalf of Steven Walton
Reply-To: HDF Users Discussion List
Date: Monday, October 17, 2016 at 9:34 AM
To: HDF Users Discussion List
Subject: [Hdf-forum] Irregular 2D array write (C++)
So I'm wondering if there is a good way to write an irregular shaped 2D array
into hdf5. And example of this would be like storing vtk node connections for
an unstructured grid. First number noting the cell type and the next numbers
denoting the nodes.
9 23 41 54 12
9 46 29 19 60
5 93 18 58
5 29 58 17
9 50 38 58 95
So the array has some rows that are length 5 and others that are length 4 (or
arbitrary). I understand how to do this with C++ vectors and push_back, but
those don't create contiguous arrays. Is there another way to create this in a
way that HDF would accept?
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