datasette-seaborn/README.md
# datasette-seaborn
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Statistical visualizations for Datasette using Seaborn
## Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-seaborn
## Usage
Navigate to the new `.seaborn` extension for any Datasette table.
The `_seaborn` argument specifies a method on `sns` to execute, e.g. `?_seaborn=relplot`.
Extra arguments to those methods can be specified using e.g. `&_seaborn_x=column_name`.
## Configuration
The plugin implements a default rendering time limit of five seconds. You can customize this limit using the `render_time_limit` setting, which accepts a floating point number of seconds. Add this to your `metadata.json`:
```json
{
"plugins": {
"datasette-seaborn": {
"render_time_limit": 1.0
}
}
}
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-seaborn
python3 -mvenv venv
source venv/bin/activate
Or if you are using `pipenv`:
pipenv shell
Now install the dependencies and tests:
pip install -e '.[test]'
To run the tests:
pytest