issue_comments: 37503963
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/pull/59#issuecomment-37503963 | https://api.github.com/repos/pydata/xarray/issues/59 | 37503963 | MDEyOklzc3VlQ29tbWVudDM3NTAzOTYz | 514053 | 2014-03-13T06:32:59Z | 2014-03-13T06:32:59Z | CONTRIBUTOR | Yeah, does seem that way. Unfortunately that makes comparison with datetime objects a bit awkward. Perhaps we should include a to_datetime() the way pandas does? Certainly, it would be convenient to be able to do comparisons such as: ds['time'].data > datetime.datetime(2014, 01, 01) This is definitely not high priority though. |
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