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https://github.com/pydata/xarray/issues/4079#issuecomment-631075010 https://api.github.com/repos/pydata/xarray/issues/4079 631075010 MDEyOklzc3VlQ29tbWVudDYzMTA3NTAxMA== 703554 2020-05-19T20:50:26Z 2020-05-19T20:50:51Z CONTRIBUTOR

In the specific example from your notebook, where do the dimensions lengths __variants/BaseCounts_dim1, __variants/MLEAC_dim1 and __variants/MLEAF_dim1 come from?

BaseCounts_dim1 is length 4, so maybe that corresponds to DNA bases ATGC?

In this specific example, I do actually know where these dimension lengths come from. In fact I should've used the shared dimension alt_alleles instead of __variants/MLEAC_dim1 and __variants/MLEAF_dim1. And yes BaseCounts_dim1 does correspond to DNA bases.

But two points.

First, I don't care about these dimensions. The only dimensions I care about and will use are variants, samples and ploidy.

Second, more important, this kind of data can come from a number of different sources, each of which includes a different set of arrays with different names and semantics. While there are some common arrays and naming conventions where I can guess what the dimensions mean, in general I can't know all of those up front and bake them in as special cases. 

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