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  • dcherian · 2 ✖

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  • Anomaly calculation with groupby leaves seasonal cycle · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1546024198 https://github.com/pydata/xarray/issues/7838#issuecomment-1546024198 https://api.github.com/repos/pydata/xarray/issues/7838 IC_kwDOAMm_X85cJnUG dcherian 2448579 2023-05-12T16:52:29Z 2023-05-12T16:52:29Z MEMBER

Thanks! I tracked this down to the difference between reading the file remotely, or downloading first and accessing a local copy on v0.20.2 (the latter is what I used to produce my figures). Can you reproduce? remote = xr.open_dataset( "http://kage.ldeo.columbia.edu:81/SOURCES/.LOCAL/.sst.mon.mean.nc/.sst/dods" ).sst.sel(lat=20, lon=280, method="nearest") local = xr.open_dataset("~/Downloads/data.cdf").sst.sel(lat=20, lon=280, method="nearest")

(remote.groupby("time.month") - remote.groupby("time.month").mean()).plot()

(local.groupby("time.month") - local.groupby("time.month").mean()).plot() 

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   Anomaly calculation with groupby leaves seasonal cycle 1706864252
1545930953 https://github.com/pydata/xarray/issues/7838#issuecomment-1545930953 https://api.github.com/repos/pydata/xarray/issues/7838 IC_kwDOAMm_X85cJQjJ dcherian 2448579 2023-05-12T15:32:47Z 2023-05-12T15:35:02Z MEMBER

Can you compare ds_anom at a point in both versions please? I get a plot that looks quite similar

v0.20.2:

v2022.03.0:

v2023.04.2

 
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   Anomaly calculation with groupby leaves seasonal cycle 1706864252

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