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  • mangecoeur · 2 ✖

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  • Huge memory use when using FacetGrid · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
303857073 https://github.com/pydata/xarray/issues/1424#issuecomment-303857073 https://api.github.com/repos/pydata/xarray/issues/1424 MDEyOklzc3VlQ29tbWVudDMwMzg1NzA3Mw== mangecoeur 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.

 
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   Huge memory use when using FacetGrid 231061878
303748239 https://github.com/pydata/xarray/issues/1424#issuecomment-303748239 https://api.github.com/repos/pydata/xarray/issues/1424 MDEyOklzc3VlQ29tbWVudDMwMzc0ODIzOQ== mangecoeur 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

 
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   Huge memory use when using FacetGrid 231061878

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