issue_comments: 297997508
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/1387#issuecomment-297997508 | https://api.github.com/repos/pydata/xarray/issues/1387 | 297997508 | MDEyOklzc3VlQ29tbWVudDI5Nzk5NzUwOA== | 1386642 | 2017-04-28T13:27:59Z | 2017-04-28T13:27:59Z | CONTRIBUTOR | The AxesGrid API isn't actually that bad. See this ```python from mpl_toolkits.axes_grid1 import ImageGrid import xarray as xr fig = plt.figure(figsize=(6,2.5)) grid = ImageGrid(fig, 111, (1,2), axes_pad=.1, cbar_location='bottom', cbar_mode='each', cbar_pad=0.3, aspect=False, cbar_size='3%') for (lab,data), ax, cax in zip(t.groupby('season'), grid, grid.cbar_axes):
im = ax.contourf(data)
cax.colorbar(im)
```
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