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3 rows where issue = 287844110 and user = 1197350 sorted by updated_at descending

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  • rabernat · 3 ✖

issue 1

  • WIP: html repr · 3 ✖

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478087371 https://github.com/pydata/xarray/pull/1820#issuecomment-478087371 https://api.github.com/repos/pydata/xarray/issues/1820 MDEyOklzc3VlQ29tbWVudDQ3ODA4NzM3MQ== rabernat 1197350 2019-03-29T17:39:58Z 2019-03-29T17:39:58Z MEMBER

Perhaps we could leverage our recently formed links between Pangeo and the Jupyter folks to help confront these front-end issues, in which we have limited expertise as a project.

@ian-r-rose, a developer of jupyter server extensions, has been a very helpful resource. Maybe he could give us some advice?

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  WIP: html repr 287844110
476813041 https://github.com/pydata/xarray/pull/1820#issuecomment-476813041 https://api.github.com/repos/pydata/xarray/issues/1820 MDEyOklzc3VlQ29tbWVudDQ3NjgxMzA0MQ== rabernat 1197350 2019-03-26T19:32:30Z 2019-03-26T19:32:30Z MEMBER

Hi @benbovy - how can we convince you to work more on this amazing idea? What help / support do you need from other xarray devs?

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  WIP: html repr 287844110
453434188 https://github.com/pydata/xarray/pull/1820#issuecomment-453434188 https://api.github.com/repos/pydata/xarray/issues/1820 MDEyOklzc3VlQ29tbWVudDQ1MzQzNDE4OA== rabernat 1197350 2019-01-11T08:47:50Z 2019-01-11T08:47:50Z MEMBER

Let's revive this excellent idea!

In particular, I would be interested in using the HTML repr on its own in conjunction with #2659 (dict / json serialization of dataset schema). If we could develop a standalone html repr function that interprets the output of dataset.to_dict(data=False) (or maybe dataset.to_dict(data='preview')), this would be very useful for pangeo-data/pangeo-datastore#1.

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  WIP: html repr 287844110

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