Interactive Jupyter Barchart

This is an interactive bar chart widget for Jupyter Notebook, VS Code, and Google Colab.

Get started

pip install jbar

import pandas as pd
from jbar import BarChart

df = pd.read_csv('https://raw.githubusercontent.com/jakobtroidl/jbarchart/master/data/test_features.csv')
barchart = BarChart()
barchart.update(df, x="cell_type", exclude=["id"])
barchart.show()

Development installation

Create a virtual environment and install jbar in editable mode with the optional development dependencies:

poetry install
poetry shell

You then need to install the JavaScript dependencies and run the development server.

npm install
npm run dev

Open example.ipynb in JupyterLab, VS Code, or your favorite editor to start developing. Changes made in js/ will be reflected in the notebook.

Publish to PyPI

// Update version in pyproject.toml
poetry build
poetry publish