issue_comments: 42591663
This data as json
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/118#issuecomment-42591663 | https://api.github.com/repos/pydata/xarray/issues/118 | 42591663 | MDEyOklzc3VlQ29tbWVudDQyNTkxNjYz | 1217238 | 2014-05-08T19:04:17Z | 2014-05-08T19:04:17Z | MEMBER | Ouch! Thanks for filing the report and providing the sample file -- I will take a look. For now, turn off automatic date decoding by calling I'm guessing that part of the trouble might be that numpy and pandas provide poor support for alternative calendars (and honestly, I haven't tested them very much). I attempted to fall back on making arrays of python datetime objects, but in this case it looks like that didn't work -- somehow things got converted in a numpy native datetime64 array anyways. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
33112594 |