issue_comments: 1208617600

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https://github.com/pydata/xarray/issues/4285#issuecomment-1208617600 https://api.github.com/repos/pydata/xarray/issues/4285 1208617600 IC_kwDOAMm_X85ICgqA 35968931 2022-08-08T21:15:01Z 2022-08-08T21:15:27Z MEMBER

You mentioned union arrays, but for completeness, the type system in Awkward Array has ... Here's a way to determine if an array (Python type ak.Array) is in that subset

That's very helpful, thank you!

python ak.Array(array.layout.recursively_apply(prepare), behavior=array.behavior)

(FWIW I find the "behavior" stuff very confusing in general, even after reading the docs page on it. I don't really understand why I can't just reimplement my monkey-patched example above by subclassing ak.Array, or should I be wrapping it?)

it would be possible to define shape with some token for the variable-length dimensions and dtype.

How would I do this without monkey-patching?

All I really want (and I hazard all that most xarray users want) is to be able to import some class from awkward that offers only the simplest possible Ragged Array, that conforms to the data API standard (i.e. defines shape and dtype).

Oh, if you're replacing variable-length dimensions with the maximum length in that dimension, what about actually padding the array with ak.pad_none?

What's the benefit of doing this over just using ak.num on each axis like I did above?

That uses all the memory of a padded array, but it's what people use now if they want to convert Awkward data into non-Awkward data (maybe passing the final step to ak.to_numpy).

I can see that this might be useful in xarray's .to_numpy methods though.

This is exciting though @jpivarski !

 
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