pull_requests: 556366571

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
556366571 MDExOlB1bGxSZXF1ZXN0NTU2MzY2NTcx 4820 open 0 Add dataset line plot 14371165 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #4235 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` TODO: * markersize/linewidth should work, easy if linewidth is only defined. But the hue/linewidth combo is trickier. * Possible, see post further down for details. Should be done in dataarray version in a future PR. * hue only works with coordinates. Should it work with variables? How to do that? groupby? * Leave it for coordinates only for now. * Should lines always be sorted to avoid weird lines? * Handled in dataarray version * linewidth not shown anywhere * line plots doesn't have the nice `legend_elements` function that scatter has which makes it a little bit more tricky. It can still be shown in the legend though. Adds `ds.plot.line`. The function wraps `ax.plot` which should feel pretty homely for most matplotlib users. It was a mess getting the colorbar to work because scatter returns a mappable that colorbar can handle but plot returns a list of line2ds that it can't handle. You also can't add cmaps directly to ax.plot, so to avoid for loops I changed the default color settings instead. Feel free to break it. Example: ![bild](https://user-images.githubusercontent.com/14371165/104847719-244fe100-58e2-11eb-815c-46940b7fc40e.png) 2021-01-17T15:40:39Z 2022-06-09T14:50:17Z     cbb6eab4de6060bbc31aab7a50fc7246bdb376e3     1 1dfad9fae173def3fd85c2ce1e8b3c1739fbb42f d1e4164f3961d7bbb3eb79037e96cae14f7182f8 MEMBER   13221727 https://github.com/pydata/xarray/pull/4820  

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