Load no-time vars as numpy arrays in to_windowed_arrays#2752
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erikvansebille merged 10 commits intoJul 16, 2026
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To show which fields are WindowedArrays, which are Dask and which are NumPy
erikvansebille
commented
Jul 15, 2026
Following suggestion by @VeckoTheGecko
As I can't reproduce the failing unit tests locally
As not all fields have depth coordinate
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Description
This PR fixes #2751, by calling a
.compute()on variables that have amockTdimension (i.e. no time), thereby speeding up thefieldset.to_windowed_arrays()method.It also loads
lonandlatexplicitly, which are not dimensions but variables in a curvilinear grid.Finally, it adds information about rhetorical backend (Numpy, Dask or WindowedArray) to each field in
fieldset.describe()Checklist
mainfor normal development,v3-supportfor v3 support)AI Disclosure
None