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- 2d plot titles · 8 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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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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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130398680 | https://github.com/pydata/xarray/pull/519#issuecomment-130398680 | https://api.github.com/repos/pydata/xarray/issues/519 | MDEyOklzc3VlQ29tbWVudDEzMDM5ODY4MA== | clarkfitzg 5356122 | 2015-08-12T18:15:22Z | 2015-08-12T18:15:22Z | MEMBER |
Works for me. The error message should be informative enough in the other cases. Scalar coordinates- this is the current behavior: ``` In [16]: a = xray.DataArray(np.random.randn(3, 4)) In [17]: a.coords['foo'] = 123 In [18]: a.plot() ``` So scalar coordinates do show up in the title, which is what I was going for. I could add a test for this.
That's the approach that I've moved to after spending more time on it. This PR adds the argument |
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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 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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129649712 | https://github.com/pydata/xarray/pull/519#issuecomment-129649712 | https://api.github.com/repos/pydata/xarray/issues/519 | MDEyOklzc3VlQ29tbWVudDEyOTY0OTcxMg== | clarkfitzg 5356122 | 2015-08-10T23:55:33Z | 2015-08-10T23:55:33Z | MEMBER | Will finish this up tomorrow morning. |
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129630708 | https://github.com/pydata/xarray/pull/519#issuecomment-129630708 | https://api.github.com/repos/pydata/xarray/issues/519 | MDEyOklzc3VlQ29tbWVudDEyOTYzMDcwOA== | clarkfitzg 5356122 | 2015-08-10T22:11:07Z | 2015-08-10T22:11:07Z | MEMBER | @jhamman Yes, ready for review. |
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129624981 | https://github.com/pydata/xarray/pull/519#issuecomment-129624981 | https://api.github.com/repos/pydata/xarray/issues/519 | MDEyOklzc3VlQ29tbWVudDEyOTYyNDk4MQ== | jhamman 2443309 | 2015-08-10T21:55:08Z | 2015-08-10T21:55:08Z | MEMBER | @clarkfitzg - in your eyes, is this done? If so, I'll give it another look? |
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129556441 | https://github.com/pydata/xarray/pull/519#issuecomment-129556441 | https://api.github.com/repos/pydata/xarray/issues/519 | MDEyOklzc3VlQ29tbWVudDEyOTU1NjQ0MQ== | clarkfitzg 5356122 | 2015-08-10T18:22:58Z | 2015-08-10T18:22:58Z | MEMBER | @jhamman good idea :+1: |
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