DEP: Finalize ragged array creation deprecation #22004
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This finalizes all DeprcationWarnings related to the creation of object arrays from nested lists enforcing that users use `dtype=object` if this is intentional.
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Could you also change the status of NEP 34 to |
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Travis CI is still running after 8 hours, but everything else looks good. Thanks @seberg |
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In order to create an array from list of inhomogeneus objects explicitly dtype to object Since numpy 1.24 numpy raises ValueError when creating Ragged array numpy/numpy#22004
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To create an array from a list of inhomogeneous objects explicitly type to object Since NumPy 1.24 numpy raises ValueError when creating a Ragged array numpy/numpy#22004 --------- Co-authored-by: Anca Lita <27920906+ancalita@users.noreply.github.com>
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Numpy v1.24 deprecated ragged arrays unless dtype=object is passed (numpy/numpy#22004). The SimulationResult class needs to support different length entries in tout in the case that these differ across simulations. PySB shouldn't convert these to a numpy array, instead preferring to keep them as a list/iterable.
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jmuhlich
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Numpy v1.24 deprecated ragged arrays unless dtype=object is passed (numpy/numpy#22004). The SimulationResult class needs to support different length entries in tout in the case that these differ across simulations. PySB shouldn't convert these to a numpy array, instead preferring to keep them as a list/iterable.
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What if creating either ragged or regular ndarray is the desired behavior? Is there an efficient numpy function that can check whether the input is ragged or not? |
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Also maybe spares asanyarray, as the name suggests "any" array should work? The current doc says "Input data, in any form that can be converted to an array" |
mistafunk
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Otherwise an exception will be triggered (e.g. within arcgis.geometry.Polygon.coordinates()): numpy/numpy#22004
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This finalizes all DeprcationWarnings related to the creation of object
arrays from nested lists enforcing that users use
dtype=objectif thisis intentional.