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  • fmaussion · 2 ✖

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  • 'levels' tick labels for discrete colormaps · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
367115118 https://github.com/pydata/xarray/issues/1015#issuecomment-367115118 https://api.github.com/repos/pydata/xarray/issues/1015 MDEyOklzc3VlQ29tbWVudDM2NzExNTExOA== fmaussion 10050469 2018-02-20T20:52:15Z 2018-02-20T20:52:15Z MEMBER

I think a doc example would be enough. For example in the gallery? http://xarray.pydata.org/en/latest/auto_gallery/index.html

 
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   'levels' tick labels for discrete colormaps 178501065
248847812 https://github.com/pydata/xarray/issues/1015#issuecomment-248847812 https://api.github.com/repos/pydata/xarray/issues/1015 MDEyOklzc3VlQ29tbWVudDI0ODg0NzgxMg== fmaussion 10050469 2016-09-22T09:00:56Z 2016-09-22T09:00:56Z MEMBER

Note that currently the colorbar labelling logic is handed over entirely to matplotlib, so its mpl which decides upon this. With the cbar_kwargs argument you can control this at your whish, so I'm not sure we have to change anything:

``` python from matplotlib import pyplot as plt import xarray as xr

data = xr.DataArray(np.arange(12).reshape((3, 4))10 + 10) levels = np.append(np.arange(10)10 + 10, 115)

f, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(14, 4))

data.plot(ax=ax1, levels=levels) data.plot(ax=ax2, levels=levels, cbar_kwargs={'ticks':levels}) data.plot(ax=ax3, levels=levels, cbar_kwargs={'ticks':levels, 'spacing':'proportional'}) plt.tight_layout() ```

 
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   'levels' tick labels for discrete colormaps 178501065

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