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1 row where author_association = "CONTRIBUTOR", issue = 290593053 and user = 244887 sorted by updated_at descending

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  • gajomi · 1 ✖

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  • xarray contrib module · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
359961228 https://github.com/pydata/xarray/issues/1850#issuecomment-359961228 https://api.github.com/repos/pydata/xarray/issues/1850 MDEyOklzc3VlQ29tbWVudDM1OTk2MTIyOA== gajomi 244887 2018-01-23T23:01:11Z 2018-01-23T23:01:11Z CONTRIBUTOR

I don't have any strong opinion about separate repos or contrib submodules, so long as there is some way to improve discoverability of methods.

Having said that, many of the methods mentioned in #1288 are in the numpy namespace, and at least naively applicable to all domains. Would you consider numpy methods with semantics compatible with DataArrays and/or Datasets as appropriate to contribute to core xarray?

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  xarray contrib module 290593053

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