issue_comments: 1094587632
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/6456#issuecomment-1094587632 | https://api.github.com/repos/pydata/xarray/issues/6456 | 1094587632 | IC_kwDOAMm_X85BPhTw | 34276374 | 2022-04-11T06:07:06Z | 2022-04-11T10:42:51Z | NONE | @delgadom - In the example it's saving every iteration, but in my actual code it's much less frequent. I figured there was probably a better way to achieve the same thing, but it still doesn't seem like the expected behaviour, which is why I thought I should raise the issue here. The files are just sequentially names (as in my example), but the indices of the resulting dataframes are a bunch of unique strings (file-paths, not dates). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
1197117301 |