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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
56817968 MDU6SXNzdWU1NjgxNzk2OA== 316 Not-quite-ISO timestamps sjpfenninger 141709 closed 0   0.4 799013 7 2015-02-06T14:30:11Z 2015-02-18T04:45:25Z 2015-02-18T04:45:25Z CONTRIBUTOR      

I have trouble reading NetCDF files obtained from MERRA. It turns out that their time unit is of the form "hours since 1982-1-10 0". Because there is only a single "0" for the hour, rather than "00", this is not an ISO compliant datetime string and pandas.Timestamp raises an error (see pydata/pandas#9434).

This makes it impossible to open such files unless passing decode_times=False to open_dataset().

I wonder if this is a rare edge case or if xray could attempt to intelligently handle it somewhere (maybe in conventions._unpack_netcdf_time_units). For now, I just used NCO to append an extra 0 to the time unit (luckily all files are the same, so I can just do this across the board): ncatted -O -a units,time,a,c,"0" file.nc

 
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   completed xarray 13221727 issue
57198686 MDExOlB1bGxSZXF1ZXN0MjkwMjE2Mzg= 317 Fall back to netCDF4 if pandas can’t parse a date sjpfenninger 141709 closed 0   0.4 799013 1 2015-02-10T16:31:34Z 2015-02-10T18:37:35Z 2015-02-10T18:37:32Z CONTRIBUTOR   0 pydata/xarray/pulls/317

Addresses #316

 
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     xarray 13221727 pull

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