issue_comments: 234685251
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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 |
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https://github.com/pydata/xarray/issues/907#issuecomment-234685251 | https://api.github.com/repos/pydata/xarray/issues/907 | 234685251 | MDEyOklzc3VlQ29tbWVudDIzNDY4NTI1MQ== | 6213168 | 2016-07-23T00:07:38Z | 2016-07-23T00:07:38Z | MEMBER | Crude workaround: ``` python Convert object coords to stringfor dim in array.dims: if array.coords[dim].dtype == numpy.dtype('O'): array.coords[dim] = array.coords[dim].values.tolist() return array ``` The above works, but if you have more than a handful elements in the coord the performance hit will be severe. |
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