issue_comments: 696432690
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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/114#issuecomment-696432690 | https://api.github.com/repos/simonw/sqlite-utils/issues/114 | 696432690 | MDEyOklzc3VlQ29tbWVudDY5NjQzMjY5MA== | 9599 | 2020-09-21T23:26:32Z | 2020-09-21T23:27:38Z | OWNER | To expand on what that first argument - the `columns` argument - does. Say you have a table like this: ``` id integer name text age text ``` Any columns omitted from the `columns=` argument are left alone - they have to be explicitly dropped using `drop=` if you want to drop them. Any new columns are added (at the end of the table): ``` table.tranform({"size": float}) ``` Any columns that have their type changed will have their type changed: ``` table.tranform({"age": int}) ``` Should I also re-order columns if the order doesn't match? I think so. Open question as to what happens to columns that aren't mentioned at all in the dictionary though - what order should they go in? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 621989740 |