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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
54391570 MDExOlB1bGxSZXF1ZXN0MjczOTI5OTU= 310 More robust CF datetime unit parsing akleeman 514053 closed 0 shoyer 1217238 0.4 799013 1 2015-01-14T23:19:07Z 2015-01-14T23:36:34Z 2015-01-14T23:35:27Z CONTRIBUTOR   0 pydata/xarray/pulls/310

This makes it possible to read datasets that don't follow CF datetime conventions perfectly, such as the following example which (surprisingly) comes from NCEP/NCAR (you'd think they would follow CF!)

``` ds = xray.open_dataset('http://thredds.ucar.edu/thredds/dodsC/grib/NCEP/GEFS/Global_1p0deg_Ensemble/members/GEFS_Global_1p0deg_Ensemble_20150114_1200.grib2/GC') print ds['time'].encoding['units']

u'Hour since 2015-01-14T12:00:00Z' ```

 
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     xarray 13221727 pull

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