issue_comments: 878910801

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https://github.com/pydata/xarray/issues/5597#issuecomment-878910801 https://api.github.com/repos/pydata/xarray/issues/5597 878910801 MDEyOklzc3VlQ29tbWVudDg3ODkxMDgwMQ== 1373406 2021-07-13T09:03:04Z 2021-07-13T09:03:04Z NONE

Thanks for your help!

I checked using the netCDF4 module, and the data is returned correctly ```python $ d = netCDF4.Dataset("BIG_FILE_packed.nc") $ d["ssrd"][d["time"][:] < d["time"][24], d["latitude"][:] == 44.8, d["longitude"][:] == 287.1]

masked_array( data=[[[ 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 ]], [[6543665.4578304 ]]], mask=False, fill_value=1e+20) I tried with `scipy` as the engine, and it still returns the 2 valuespython $ xarray.open_dataset("BIG_FILE_packed.nc", engine="scipy").ssrd.sel(latitude=44.8, longitude=287.1, method="nearest").values[:23]
array([2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.000000e+00, 2.565200e+04, 3.547440e+05, 1.091760e+06, 2.170378e+06, 3.482364e+06, 4.704884e+06, 5.689655e+06, 6.297786e+06, 6.534908e+06, 6.543667e+06, 6.543667e+06], dtype=float32) ``` I should mention that in another large packed dataset from this API, I have gotten the same error but with a very small decimal value in place of the zero instead of 2.

 
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