issue_comments: 269031217
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/805#issuecomment-269031217 | https://api.github.com/repos/pydata/xarray/issues/805 | 269031217 | MDEyOklzc3VlQ29tbWVudDI2OTAzMTIxNw== | 5635139 | 2016-12-23T18:51:10Z | 2016-12-23T18:51:10Z | MEMBER | This now works, although as an object array rather than PI. Which is probably OK: ```python In [6]: ds Out[6]: <xarray.Dataset> Dimensions: (time: 3, x: 2, y: 2) Coordinates: lon (x, y) float64 -99.83 -99.32 -99.79 -99.23 lat (x, y) float64 42.25 42.21 42.63 42.59 * time (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08 reference_time object 2014 * x (x) int64 0 1 * y (y) int64 0 1 Data variables: temperature (x, y, time) float64 12.29 8.305 10.63 16.6 2.823 16.29 ... precipitation (x, y, time) float64 4.541 3.618 3.336 2.332 7.987 4.197 ... In [7]: ds.reference_time Out[7]: <xarray.DataArray 'reference_time' ()> array(Period('2014', 'A-DEC'), dtype=object) Coordinates: reference_time object 2014 ``` @shoyer - to close? |
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