issue_comments: 879554360

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https://github.com/pydata/xarray/issues/5597#issuecomment-879554360 https://api.github.com/repos/pydata/xarray/issues/5597 879554360 MDEyOklzc3VlQ29tbWVudDg3OTU1NDM2MA== 1373406 2021-07-14T03:19:53Z 2021-07-14T03:19:53Z NONE

That explains it to me! Not sure if it's still useful but I exported the subset as a netCDF file. ```python In [59]: packed_vals = xarray.open_dataset("packed_solar_data_subset.nc", mask_and_scale=False).ssrd.values

In [60]: packed_vals[0] * numpy.float32(e["scale_factor"]) + numpy.float32(e["add_offset"])
Out[60]: 2.0

In [61]: packed_vals[0] * numpy.float64(e["scale_factor"]) + numpy.float64(e["add_offset"])
Out[61]: 0.0 Hm actually I think converting the packed vals to 64 bit and then decoding does what I'm looking forpython In [62]: xarray.decode_cf(xarray.open_dataset("packed_solar_data_subset.nc", mask_and_scale=False).astype(numpy.float64)).ssrd.values
Out[62]: array([ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 25651.61906215, 354743.1221522 , 1091757.933255 , 2170377.23235622, 3482363.69999847, 4704882.32554591, 5689654.23783437, 6297785.304381 , 6534906.36839455, 6543665.4578304 , 6543665.4578304 ]) ```

 
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