issue_comments: 277576684
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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/1249#issuecomment-277576684 | https://api.github.com/repos/pydata/xarray/issues/1249 | 277576684 | MDEyOklzc3VlQ29tbWVudDI3NzU3NjY4NA== | 5635139 | 2017-02-06T03:04:02Z | 2017-02-06T03:04:02Z | MEMBER | I agree that outcome isn't what I would have expected. If you put the input into a ```python In [5]: lat = np.random.rand(50000) * 180 - 90 ...: lon = np.random.rand(50000) * 360 - 180 ...: d = xr.Dataset({'latitude':xr.DataArray(lat), 'longitude':lon}) ...: ...: In [6]: d Out[6]: <xarray.Dataset> Dimensions: (dim_0: 50000, longitude: 50000) Coordinates: * longitude (longitude) float64 -80.73 -118.8 88.66 -132.1 -74.87 27.2 ... Dimensions without coordinates: dim_0 Data variables: latitude (dim_0) float64 47.59 26.57 30.56 -12.52 65.44 70.32 84.45 ... ``` |
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