issue_comments: 194971898
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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/789#issuecomment-194971898 | https://api.github.com/repos/pydata/xarray/issues/789 | 194971898 | MDEyOklzc3VlQ29tbWVudDE5NDk3MTg5OA== | 1217238 | 2016-03-10T17:41:27Z | 2016-03-10T17:41:27Z | MEMBER | There are two issues here: 1. Support for years outside 1678-2262 -- blocked by pandas standardizing on nanosecond precision. 2. Support for custom calendars -- blocked by limitations of numpy's datetime64. Unfortunately, I don't see easy fixes to either of these, though if I had to guess, adding support for other datetime precisions (perhaps only sub-second resolution) to pandas would be easier than fixing up NumPy's datetime64 itself (which is already pretty hacky). |
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