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  • andersy005 · 1 ✖

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  • ds.to_netcdf() changes values of variable · 1 ✖

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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
1039149253 https://github.com/pydata/xarray/issues/6272#issuecomment-1039149253 https://api.github.com/repos/pydata/xarray/issues/6272 IC_kwDOAMm_X8498CjF andersy005 13301940 2022-02-14T14:26:44Z 2022-02-14T14:26:44Z MEMBER

@ArcticSnow,

The value z is a float32 which varies from 2000 to -2000 along the time dimension. After being saved in the subsample, z is still a float32 but the values that are less than -1000 are being offset by 44500.

You may have scale_factor and add_offset attributes in your dataset.

However, if I do (ds.z.isel(latitude[1,2,3], longitude=[3,4,5])*1).to_netcdf('sub.nc')

There's a chance xarray is discarding the attributes/encoding during the ds.z.isel(latitude[1,2,3], longitude=[3,4,5])*1 and as a result, netCDF ends up not encoding z during the to_netcdf() call.

What's the output of

python print(ds.z.encoding) print(ds.z.attrs) ??

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   ds.to_netcdf() changes values of variable 1136315478

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