issue_comments: 1211328405

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https://github.com/pydata/xarray/issues/4285#issuecomment-1211328405 https://api.github.com/repos/pydata/xarray/issues/4285 1211328405 IC_kwDOAMm_X85IM2eV 1852447 2022-08-10T22:01:55Z 2022-08-10T22:01:55Z NONE

This is a wonderful list; thank you!

I'm not sure whether the RaggedArray class being proposed here would work for that use case [Alleles in Genomics]?

I believe that this use-case benefits from being able to mix regular and ragged dimensions, that the data have 3 regular dimensions and 1 ragged dimension, with the ragged one as the innermost. (The RaggedArray described above has this feature.)

Support for event data, a particular form of sparse data.

I might have been misinterpreting the word "sparse data" in conversations about this. I had thought that "sparse data" is logically rectilinear but represented in memory with the zeros removed, so the internal machinery has to deal with irregular structures, but the outward API it presents is regular (dimensionality is completely described by a shape: tuple[int]). But this usage,

1-D (or N-D) array of random-length lists, with very small list entries.

is definitely what we mean by a ragged array (again with the ragged dimension potentially within zero or more regular dimensions).

 
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