ibis-vega-transform

ibis-vega-transform

Python evaluation of Vega transforms using Ibis expressions.

For inspiration, see https://github.com/jakevdp/altair-transform

Getting started

pip install ibis-vega-transform
jupyter labextension  install ibis-vega-transform

Then in a notebook, import the Python package and pass in an ibis expression to a Altair chart:

import altair as alt
import ibis_vega_transform
import ibis
import pandas as pd


source = pd.DataFrame({
    'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],
    'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]
})

connection = ibis.pandas.connect({'source': source })
table = connection.table('source')

alt.Chart(table).mark_bar().encode(
    x='a',
    y='b'
)

Check out the notebooks in the [./examples/](./examples/] directory to see some options using interactive charts and the OmniSci backend.

Development

To install from source, run the following in a terminal:

git clone [e-mail]:Quansight/ibis-vega-transform.git

cd ibis-vega-transform
conda env create -f binder/environment.yml
conda activate ibis-vega-transform

pip install -e .[dev]
jlpm
jupyter labextension install . --no-build


jupyter lab --watch
jlpm run build:watch

To format all the files:

black ibis_vega_transform
jlpm run prettier