pull_requests: 73617159
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73617159 | MDExOlB1bGxSZXF1ZXN0NzM2MTcxNTk= | 882 | closed | 0 | add geocolormesh | 10194086 | Addresses #880 (partially): Automatically create a cartopy GeoAxis for easier plotting of map data. Works for single plots and for FacetGrids. If a normal pyplot axes is passed, defaults to pcolormesh. Example: ``` import xarray as xr t = xr.tutorial.load_dataset('air_temperature') # simple plot t.isel(time=0).air.plot.geocolormesh() plt.show() # facet grid, no coastlines f = t.isel(time=slice(0, 3)).air.plot.geocolormesh(col='time', coastlines=False) # higher resolution coastlines for ax in f.axes.flatten(): ax.coastlines(resolution='50m') plt.show() import matplotlib.pyplot as plt # if a matplotlib axis is passed, defaults to pcolormesh ax = plt.axes() t.isel(time=0).air.plot.geocolormesh(ax=ax) plt.show() ``` | 2016-06-13T17:59:24Z | 2016-08-25T20:42:34Z | 2016-08-25T20:42:34Z | 6b2181dcead9a66c8411f6f41085f5fdc8f01641 | 0 | 97e69dcccc212c90434a21b301984638eb713b12 | 97e69dcccc212c90434a21b301984638eb713b12 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/882 |
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