html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3590#issuecomment-572667885,https://api.github.com/repos/pydata/xarray/issues/3590,572667885,MDEyOklzc3VlQ29tbWVudDU3MjY2Nzg4NQ==,10194086,2020-01-09T17:29:57Z,2020-01-09T17:29:57Z,MEMBER,"
As a workaround (until #3601) is finished you can do:

``` python
import matplotlib
from matplotlib import pyplot
from xarray import DataArray
import numpy

da = DataArray(numpy.linspace(0, 1)[numpy.newaxis, :]*numpy.linspace(0, 1)[:, numpy.newaxis])

cmap = matplotlib.cm.viridis

h = da.plot.contourf(vmin=.3, cmap=cmap)

cmap = h.get_cmap()
cmap.set_under('w')

h.set_cmap(cmap)
```","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,532165408
https://github.com/pydata/xarray/issues/3590#issuecomment-562578478,https://api.github.com/repos/pydata/xarray/issues/3590,562578478,MDEyOklzc3VlQ29tbWVudDU2MjU3ODQ3OA==,3958036,2019-12-06T13:49:36Z,2019-12-06T13:49:36Z,CONTRIBUTOR,"Looks like that was it, thanks @dcherian!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,532165408
https://github.com/pydata/xarray/issues/3590#issuecomment-561366760,https://api.github.com/repos/pydata/xarray/issues/3590,561366760,MDEyOklzc3VlQ29tbWVudDU2MTM2Njc2MA==,2448579,2019-12-03T21:33:23Z,2019-12-03T21:33:23Z,MEMBER,"No that's for dataset plotting and is a norm for size of points plotted by `scatter`.

I would look here:
https://github.com/pydata/xarray/blob/ed05f9862622b00f40f7b9b99ccdb0ab3766ff0f/xarray/plot/utils.py#L77-L101","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,532165408
https://github.com/pydata/xarray/issues/3590#issuecomment-561358453,https://api.github.com/repos/pydata/xarray/issues/3590,561358453,MDEyOklzc3VlQ29tbWVudDU2MTM1ODQ1Mw==,3958036,2019-12-03T21:10:58Z,2019-12-03T21:10:58Z,CONTRIBUTOR,"Might be somethnig to do with
https://github.com/pydata/xarray/blob/ed05f9862622b00f40f7b9b99ccdb0ab3766ff0f/xarray/plot/dataset_plot.py#L137
?

The docstring for `matplotlib.colors.Normalize` says
> If *clip* is *True*, masked values are set to 1; otherwise they remain masked.  Clipping silently defeats the purpose of setting the over, under, and masked colors in the colormap, so it is likely to lead to surprises; therefore the default is *clip* = *False*.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,532165408
https://github.com/pydata/xarray/issues/3590#issuecomment-561314623,https://api.github.com/repos/pydata/xarray/issues/3590,561314623,MDEyOklzc3VlQ29tbWVudDU2MTMxNDYyMw==,2448579,2019-12-03T19:15:20Z,2019-12-03T19:15:20Z,MEMBER,Thanks for the report @johnomotani. I expect we are recreating the colormap from scratch somewhere in `plot/utils.py`,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,532165408