Added interface class for iris Cube datasets #624
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philippjfr
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type: feature
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| from .grid import GridInterface | |||
| from .ndelement import NdElementInterface | |||
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| datatypes = ['array', 'dictionary', 'grid', 'ndelement'] | |||
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Is this because you are considering setting datatypes with hv.core.data.datatypes = [ 'dictionary'] for example? Makes sense, for convenience but I would like to know if there was any another reason for moving it off the class itself.
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So I can populate it depending on the availability of the various data backends. Happy to change the way this is handled though.
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No, this is perfectly fine - just seems more flexible this way.
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| from holoviews.element.comparison import ComparisonTestCase | ||
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| class TestCube(ComparisonTestCase): | ||
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Great! Maybe we can get some people who are familiar with Iris tests to add some more of their own. :-)
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Looks good! Happy to merge once the tests pass and you are happy with the number of tests for the time being. |
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Ready to merge, I think the push build is getting confused about the updated data, but the PR build passed. |
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The pr build is the one that counts. Merging. |
This PR adds an interface for iris Cube datasets to work with large out-of-memory datasets. The interface isn't entirely complete but supports all the basic functionality to work with such a dataset.
In future we can think about also implementing the
sampleandaggregatemethods but it should not hold up this PR.