issue_comments: 487947321

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https://github.com/pydata/xarray/issues/2932#issuecomment-487947321 https://api.github.com/repos/pydata/xarray/issues/2932 487947321 MDEyOklzc3VlQ29tbWVudDQ4Nzk0NzMyMQ== 10194086 2019-04-30T13:15:05Z 2019-05-02T09:00:07Z MEMBER

For completeness I add the minimal example

``` python %matplotlib

import numpy as np; import xarray as xr da = xr.tutorial.open_dataset('air_temperature').air cmap = 'RdBu_r' levels = np.arange(240,300+1,10) da.isel(time=slice(4)).plot(cmap=cmap, col='time', levels=levels, extend='both') ```

What I think happens is that the cmap is determined twice. First in facetgrid.py. This returns a matplotlib.colors.ListedColormap with 6 colors. Then this reduced colormap is used in plot.py. However, now it only has 6 colors to choose from, so the _over and _under colors are the same as the first and last color.

 
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