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/1852#issuecomment-360284640,https://api.github.com/repos/pydata/xarray/issues/1852,360284640,MDEyOklzc3VlQ29tbWVudDM2MDI4NDY0MA==,1217238,2018-01-24T21:47:22Z,2018-01-24T21:47:22Z,MEMBER,"One indication that something is broken here is that `z.plot.imshow()` and `z.plot.pcolormesh()` show very different figures. (`imshow` shows the right data, but the labels on the x-axis are wrong.) I can see use cases for plotting scrambled data, but for those cases I would probably defer to `seaborn.heatmap()` which does the right thing (including labels): ``` import seaborn z.to_pandas().pipe(seaborn.heatmap, cmap='viridis') ``` ![download 46](https://user-images.githubusercontent.com/1217238/35358810-be1152dc-010c-11e8-8b97-2d1e375890f8.png) Rather than automatically sorting data, we could start raising an error if labels are unsorted. The error message could suggest either sorting the data with the `sortby()` method or using `seaborn.heatmap`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,291103680