{"html_url": "https://github.com/simonw/datasette/issues/370#issuecomment-436042445", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/370", "id": 436042445, "node_id": "MDEyOklzc3VlQ29tbWVudDQzNjA0MjQ0NQ==", "user": {"value": 82988, "label": "psychemedia"}, "created_at": "2018-11-05T21:30:42Z", "updated_at": "2018-11-05T21:31:48Z", "author_association": "CONTRIBUTOR", "body": "Another route would be something like creating a `datasette` IPython magic for notebooks to take a dataframe and easily render it as a `datasette`. You'd need to run the app in the background rather than block execution in the notebook. Related to that, or to publishing a dataframe in notebook cell for use in other cells in a non-blocking way, there may be cribs in something like https://github.com/micahscopes/nbmultitask .", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 377155320, "label": "Integration with JupyterLab"}, "performed_via_github_app": null}
{"html_url": "https://github.com/simonw/datasette/issues/370#issuecomment-436037692", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/370", "id": 436037692, "node_id": "MDEyOklzc3VlQ29tbWVudDQzNjAzNzY5Mg==", "user": {"value": 82988, "label": "psychemedia"}, "created_at": "2018-11-05T21:15:47Z", "updated_at": "2018-11-05T21:18:37Z", "author_association": "CONTRIBUTOR", "body": "In terms of integration with `pandas`, I was pondering two different ways `datasette`/`csvs_to_sqlite` integration may work:\r\n\r\n- like [`pandasql`](https://github.com/yhat/pandasql), to provide a SQL query layer either by a direct connection to the sqlite db or via `datasette` API;\r\n- as an improvement of `pandas.to_sql()`, which is a bit ropey (e.g. `pandas.to_sql_from_csvs()`, routing the dataframe to sqlite via `csvs_tosqlite` rather than the dodgy mapping that `pandas` supports).\r\n\r\nThe `pandas.publish_*` idea could be quite interesting though... Would it be useful/fruitful to think about `publish_` as a complement to [`pandas.to_`](https://pandas.pydata.org/pandas-docs/stable/api.html#id12)?", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 377155320, "label": "Integration with JupyterLab"}, "performed_via_github_app": null}