pull_requests: 46689632
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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 |
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46689632 | MDExOlB1bGxSZXF1ZXN0NDY2ODk2MzI= | 604 | closed | 0 | Add subplot_kws arg to plotting interfaces | 2443309 | This argument is only used in the FacetGrid class and allows users to pass arguments to subplot constructor. The api change is a pretty simple and just accepts a single new argument (`subplot_kws`). I think we need to think about how to tweak the subplots a bit more in terms of aspect. Here's some example code that produces the plot below: ``` Python import xray import cartopy.crs as ccrs ds = xray.open_dataset('xray-data/ncep_temperature_north-america_2013-14.nc') ds.lon -= 360 lon0 = ds.lon.values.mean() dss = ds.groupby('time.season').mean('time') g = dss.air.plot.pcolormesh(col='season', col_wrap=2, transform=ccrs.PlateCarree(), subplot_kws=dict(projection=ccrs.PlateCarree(lon0))) for ax in g.axes.flat: ax.coastlines() ax.gridlines() ax.set_extent((-161.25, -28.75, 20, 40)) ```  Obviously there are some issues with the grid lines too but that may end up getting fixed by a more flexible aspect. cc @clarkfitzg closes #603 xref: https://github.com/mwaskom/seaborn/pull/320 | 2015-10-02T22:36:04Z | 2016-11-30T08:00:48Z | 2015-10-06T15:10:01Z | 2015-10-06T15:10:00Z | b5749f006c11827562f6042afc7a83f3b2ccee2a | 1307323 | 0 | 98946aa7cd7338b0643b738e7c1c713d6d53bc3f | 89adda5e719a2bba6231310e3726185597f9beab | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/604 |
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