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3 rows where issue = 99547211 and user = 1217238 sorted by updated_at descending

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  • shoyer · 3 ✖

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  • 2d plot titles · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
130456762 https://github.com/pydata/xarray/pull/519#issuecomment-130456762 https://api.github.com/repos/pydata/xarray/issues/519 MDEyOklzc3VlQ29tbWVudDEzMDQ1Njc2Mg== shoyer 1217238 2015-08-12T21:40:03Z 2015-08-12T21:40:03Z MEMBER

feel free to merge

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  2d plot titles 99547211
130400290 https://github.com/pydata/xarray/pull/519#issuecomment-130400290 https://api.github.com/repos/pydata/xarray/issues/519 MDEyOklzc3VlQ29tbWVudDEzMDQwMDI5MA== shoyer 1217238 2015-08-12T18:21:09Z 2015-08-12T18:21:09Z MEMBER

OK, seems pretty reasonable on the title then. Just note that some datasets (especially from model output) contain a lot of scalar variables, so that could easily get unwieldy. We might need to revisit this once it gets more use in the wild. For example, truncating the title at some reasonable line length might be a good idea.

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  2d plot titles 99547211
130390873 https://github.com/pydata/xarray/pull/519#issuecomment-130390873 https://api.github.com/repos/pydata/xarray/issues/519 MDEyOklzc3VlQ29tbWVudDEzMDM5MDg3Mw== shoyer 1217238 2015-08-12T17:56:13Z 2015-08-12T17:56:13Z MEMBER

For interactive use, I think plotting squeezed data is probably what users want. But I worry that this will make the result of plotting functions less predictable. Maybe we should restrict squeezing the data to only the magic DataArray.plot() method?

For axis titles, what happens if the data array has many scalar coordinates? Scalar coordinates can be directly assigned, not just created from indexing. My sense is that labelling facets will be more reliable if it is done explicitly in the same code that is doing the indexing/groupby.

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  2d plot titles 99547211

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