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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
520079199 MDU6SXNzdWU1MjAwNzkxOTk= 3497 how should xarray handle pandas attrs dcherian 2448579 open 0     1 2019-11-08T15:32:36Z 2021-07-04T03:31:02Z   MEMBER      

Continuing discussion form #3491.

Pandas has added attrs to their objects. We should decide on what to do with them in the DataArray constructor. Many tests fail if we don't handle this case explicitly.

@dcherian:

Not sure what we want to do about these attributes in the long term. One option would be to pop the name attribute, assign to DataArray.name and keep the rest as DataArray.attrs? But what if name clashes with the provided name?

@max-sixty:

Agree! I think we could prioritize the supplied name above that in attrs. Another option would be raising an error if both were supplied.

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    xarray 13221727 issue
520252049 MDExOlB1bGxSZXF1ZXN0MzM4ODczODg3 3500 make coarsen reductions consistent with reductions on other classes dcherian 2448579 closed 0     5 2019-11-08T21:56:03Z 2019-12-04T16:11:21Z 2019-12-04T16:11:16Z MEMBER   0 pydata/xarray/pulls/3500
  • [x] Tests added
  • [x] Passes black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

This PR uses inject_reduce_methods to inject reduction methods into the Coarsen classes. So now we can do coarsen.count() and pass skipna down to the reduction methods.

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    xarray 13221727 pull

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