iplot

Interactive seaborn plotting widgets for Jupyter. Call iplot(dataframe) and get dropdowns for x, y, hue, row, and col plus a plot-type picker — explore a dataset's relationships without writing new plotting code for every view.

See munch-group.org/iplot-widget for the full docs and examples.

Installation

conda install -c munch-group iplot-widget

Quick start

import seaborn as sns
from iplot_widget import iplot

data = sns.load_dataset('penguins')
iplot(data)

Development

Environment and tasks are managed with pixi:

pixi install --locked   # set up the dev environment
pixi run install-dev    # editable install of iplot into it
pixi run test           # run the test suite
pixi run docs           # execute the docs notebooks in place
pixi run api            # build and render the quartodoc/Quarto site

Releasing a new version:

pixi run release        # bump the patch version, tag, and push

This triggers CI to build and publish the conda and PyPI packages and publish the docs site.

License

MIT — see LICENSE.