issue_comments: 1059646247
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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-1059646247 | https://api.github.com/repos/simonw/sqlite-utils/issues/412 | 1059646247 | IC_kwDOCGYnMM4_KOsn | 9599 | 2022-03-05T01:51:03Z | 2022-03-05T01:51:03Z | OWNER | I considered two ways of doing this. First, have methods such as `db.query_df()` and `table.rows_df` which do the same as `.query()` and `table.rows` but return a DataFrame instead of a generator of dictionaries. Second, have a compatibility class that is imported separately such as: ```python from sqlite_utils.pandas import Database ``` Then have the `.query()` and `.rows` and other similar methods return dataframes. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1160182768 |