github
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/160#issuecomment-459915995 | https://api.github.com/repos/simonw/datasette/issues/160 | 459915995 | MDEyOklzc3VlQ29tbWVudDQ1OTkxNTk5NQ== | 82988 | 2019-02-02T00:43:16Z | 2019-02-02T00:58:20Z | CONTRIBUTOR | Do you have any simple working examples of how to use `--static`? Inspection of default served files suggests locations such as `http://example.com/-/static/app.css?0e06ee`. If `datasette` is being proxied to `http://example.com/foo/datasette`, what form should arguments to `--static` take so that static files are correctly referenced? Use case is here: https://github.com/psychemedia/jupyterserverproxy-datasette-demo Trying to do a really simple `datasette` demo in MyBinder using jupyter-server-proxy. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/370#issuecomment-436042445 | https://api.github.com/repos/simonw/datasette/issues/370 | 436042445 | MDEyOklzc3VlQ29tbWVudDQzNjA0MjQ0NQ== | 82988 | 2018-11-05T21:30:42Z | 2018-11-05T21:31:48Z | CONTRIBUTOR | 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 . | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/370#issuecomment-436037692 | https://api.github.com/repos/simonw/datasette/issues/370 | 436037692 | MDEyOklzc3VlQ29tbWVudDQzNjAzNzY5Mg== | 82988 | 2018-11-05T21:15:47Z | 2018-11-05T21:18:37Z | CONTRIBUTOR | In terms of integration with `pandas`, I was pondering two different ways `datasette`/`csvs_to_sqlite` integration may work: - 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; - 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). The `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)? | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/371#issuecomment-435862009 | https://api.github.com/repos/simonw/datasette/issues/371 | 435862009 | MDEyOklzc3VlQ29tbWVudDQzNTg2MjAwOQ== | 82988 | 2018-11-05T12:48:35Z | 2018-11-05T12:48:35Z | CONTRIBUTOR | I think you need to register a domain name you own separately in order to get a non-IP address address? https://www.digitalocean.com/docs/networking/dns/ | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/276#issuecomment-401310732 | https://api.github.com/repos/simonw/datasette/issues/276 | 401310732 | MDEyOklzc3VlQ29tbWVudDQwMTMxMDczMg== | 82988 | 2018-06-29T10:05:04Z | 2018-06-29T10:07:25Z | CONTRIBUTOR | @russs Different map projections can presumably be handled on the client side using a leaflet plugin to transform the geometry (eg [kartena/Proj4Leaflet](https://kartena.github.io/Proj4Leaflet/)) although the leaflet side would need to detect or be informed of the original projection? Another possibility would be to provide an easy way/guidance for users to create an FK'd table containing the WGS84 projection of a non-WGS84 geometry in the original/principle table? This could then as a proxy for serving GeoJSON to the leaflet map? | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/179#issuecomment-360535979 | https://api.github.com/repos/simonw/datasette/issues/179 | 360535979 | MDEyOklzc3VlQ29tbWVudDM2MDUzNTk3OQ== | 82988 | 2018-01-25T17:18:24Z | 2018-01-25T17:18:24Z | CONTRIBUTOR | To summarise that thread: - expose full `metadata.json` object to the index page template, eg to allow tables to be referred to by name; - ability to import multiple `metadata.json` files, eg to allow metadata files created for a specific SQLite db to be reused in a datasette referring to several database files; It could also be useful to allow users to import a python file containing custom functions that can that be loaded into scope and made available to custom templates. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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