issue_comments: 1059651056
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/sqlite-utils/issues/412#issuecomment-1059651056 | https://api.github.com/repos/simonw/sqlite-utils/issues/412 | 1059651056 | IC_kwDOCGYnMM4_KP3w | 9599 | 2022-03-05T02:09:38Z | 2022-03-05T02:09:38Z | OWNER | OK, so reading results from existing `sqlite-utils` into a Pandas DataFrame turns out to be trivial. How about writing a DataFrame to a database table? That feels like it could a lot more useful. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1160182768 |