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  • nbren12 · 3 ✖

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  • FacetGrid with independent colorbars · 3 ✖

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  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
298081427 https://github.com/pydata/xarray/issues/1387#issuecomment-298081427 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5ODA4MTQyNw== nbren12 1386642 2017-04-28T19:04:46Z 2017-04-28T19:04:46Z CONTRIBUTOR

I tend to agree with you @shoyer. In that case it would be nice to have a Dataset.plot convenience method for plotting all the variables in a Dataset. This method could handle all the annoying boiler plate associated with subplots/AxesGrid.

 
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   FacetGrid with independent colorbars 224846826
297997508 https://github.com/pydata/xarray/issues/1387#issuecomment-297997508 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5Nzk5NzUwOA== nbren12 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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   FacetGrid with independent colorbars 224846826
297982393 https://github.com/pydata/xarray/issues/1387#issuecomment-297982393 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5Nzk4MjM5Mw== nbren12 1386642 2017-04-28T12:12:56Z 2017-04-28T12:12:56Z CONTRIBUTOR

whoops. accidentally hit the close button.

@fmaussion I was worried that would be the case. I think matplotlib's AxesGrid module is the appropriate tool to handle this use case. Unfortunately, I find the AxesGrid API pretty unpleasant for interactive use.

 
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   FacetGrid with independent colorbars 224846826

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