pull_requests: 27392995
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| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27392995 | MDExOlB1bGxSZXF1ZXN0MjczOTI5OTU= | 310 | closed | 0 | More robust CF datetime unit parsing | 514053 | 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' ``` | 2015-01-14T23:19:07Z | 2015-01-14T23:36:34Z | 2015-01-14T23:35:27Z | 2015-01-14T23:35:27Z | 96f2c394961b37f6e1238539bb254259c543b8ff | 1217238 | 799013 | 0 | d5115cb1947b0679cc9998665a71f5d85e260623 | 4a4be4ace8f42dbc7c4ab016ab58a46812b37ad1 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/310 |
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