Statistical visualizations for Datasette using Seaborn
Project description
datasette-seaborn
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
:
{
"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
Project details
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