issue_comments: 330673189

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https://github.com/pydata/xarray/issues/1581#issuecomment-330673189 https://api.github.com/repos/pydata/xarray/issues/1581 330673189 MDEyOklzc3VlQ29tbWVudDMzMDY3MzE4OQ== 10050469 2017-09-19T21:04:42Z 2017-09-19T21:04:42Z MEMBER

Thanks for the detailed and well documented question. I had a look at your data, and there are two issues that imshow cannot handle well: - your data isn't well centred (lons go from -300 to 60, which explains the shape of your image on the globe). This wouldn't be a big deal if it wasn't for the other problem, which is: - your latitude data isn't regular.

python plt.plot(ds.lath[1:].values - ds.lath[:-1].values) Gives:

which is quite... interesting.

Anyways, imshow is so much faster because it needs regular, nicely sorted data. In your case I don't think there is much other choice than pcolormesh or contourf... Note also that plotting on Robinson is slower than plotting on a plate carree projection.

 
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