issue_comments: 154212825
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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/645#issuecomment-154212825 | https://api.github.com/repos/pydata/xarray/issues/645 | 154212825 | MDEyOklzc3VlQ29tbWVudDE1NDIxMjgyNQ== | 5635139 | 2015-11-05T22:17:31Z | 2015-11-05T22:17:31Z | MEMBER | On reflection I wonder how difficult it would be to have a mapping of numpy dtypes to pandas indexes (there are five or so), and then a mapping of pandas indexes to dtypes. The full list is here: http://pandas.pydata.org/pandas-docs/stable/basics.html#selecting-columns-based-on-dtype. Then coords could (almost?) completely delegate to Pandas Index. Regardless let me finish up that PR and the wider issue can marinate. |
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