pull_requests: 585774268
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 585774268 | MDExOlB1bGxSZXF1ZXN0NTg1Nzc0MjY4 | 5003 | closed | 0 | Add Dataset.plot.streamplot() method | 3958036 | Since @dcherian added Quiver plots in #4407, it's fairly simple to extend the functionality to `streamplot()`. For example (copying from @dcherian's unit test setup) ``` import xarray as xr from matplotlib import pyplot as plt das = [ xr.DataArray( np.random.randn(3, 3), dims=["x", "y"], coords=[range(k) for k in [3, 3]], ) for _ in [1, 2] ] ds = xr.Dataset({"u": das[0], "v": das[1]}) ds["mag"] = np.hypot(ds.u, ds.v) ds.plot.streamplot(x="x",y="y",u="u",v="v", hue="mag") plt.show() ```  - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` | 2021-03-05T17:41:49Z | 2021-03-30T16:41:08Z | 2021-03-30T16:41:07Z | 2021-03-30T16:41:07Z | ba47216ec1cd2f170fd85a10f232be7bf3ecc578 | 0 | e49fd0ec36aff8366a6970342a88a3175e769d8c | 2bbac154ddacd6d6ec989b040130cd9afb8dc0a1 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/5003 |
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