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/1424#issuecomment-497154447,https://api.github.com/repos/pydata/xarray/issues/1424,497154447,MDEyOklzc3VlQ29tbWVudDQ5NzE1NDQ0Nw==,26384082,2019-05-30T00:20:13Z,2019-05-30T00:20:13Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878
https://github.com/pydata/xarray/issues/1424#issuecomment-303857073,https://api.github.com/repos/pydata/xarray/issues/1424,303857073,MDEyOklzc3VlQ29tbWVudDMwMzg1NzA3Mw==,743508,2017-05-24T21:28:44Z,2017-05-24T21:28:44Z,CONTRIBUTOR,"Dataset isn't chunked, and yes I am using cartopy to draw coastlines following the example in the docs:

```python
p = heatwaves_pop.plot(x='longitude', y='latitude', col='time', 
                       col_wrap=3, cmap='RdBu_r', vmin=-v_both, vmax=v_both,
                    size=2,
                 subplot_kws=dict(projection=crs.PlateCarree())
                      )
for ax in p.axes.flat:
    ax.coastlines()
```

where `heatwaves_pop` is calculated from a bunch of other xarray datasets. What surprised me was that they should all have been loaded into memory so I did not expect further increase in memory use.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878
https://github.com/pydata/xarray/issues/1424#issuecomment-303856113,https://api.github.com/repos/pydata/xarray/issues/1424,303856113,MDEyOklzc3VlQ29tbWVudDMwMzg1NjExMw==,1217238,2017-05-24T21:24:35Z,2017-05-24T21:24:35Z,MEMBER,"You're using cartopy? If you're plotting a basemap of some sort, that might make a large difference in the memory usage.

A full code example would certainly be heplful here.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878
https://github.com/pydata/xarray/issues/1424#issuecomment-303751420,https://api.github.com/repos/pydata/xarray/issues/1424,303751420,MDEyOklzc3VlQ29tbWVudDMwMzc1MTQyMA==,1197350,2017-05-24T15:00:52Z,2017-05-24T15:00:52Z,MEMBER,Is your xarray dataset chunked?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878
https://github.com/pydata/xarray/issues/1424#issuecomment-303748239,https://api.github.com/repos/pydata/xarray/issues/1424,303748239,MDEyOklzc3VlQ29tbWVudDMwMzc0ODIzOQ==,743508,2017-05-24T14:51:06Z,2017-05-24T14:51:06Z,CONTRIBUTOR,"16 maps, although like you say, I'm not sure if this is coming from xarray or matplotlib","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878
https://github.com/pydata/xarray/issues/1424#issuecomment-303747874,https://api.github.com/repos/pydata/xarray/issues/1424,303747874,MDEyOklzc3VlQ29tbWVudDMwMzc0Nzg3NA==,10050469,2017-05-24T14:49:57Z,2017-05-24T14:49:57Z,MEMBER,"How many maps? 

I don't think that xarray can do much about this problem though...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,231061878