Altair-Easeviz

This Python library is dedicated to providing resources for Vega-Altair, with the aim of enhancing the creation of improved and more accessible graphs. The development of this library involved a thorough exploration of both the Altair and Vega-Lite APIs.

Installation

The library and its dependencies can be easily installed, using:

pip install altair-easeviz

Documentation

Documentation for this library can be found here.

Features

• Initial release of four accessible themes for Vega-Altair
• Generate description for charts added
• HTML with accessible functions added
• Models for creation and customization themes of vega-lite specification added

Example

This next example shows how to enable one of our four themes. More examples are available in our documentation .

import altair as alt
import pandas as pd

# Enable Theme accessible_theme, dark_accessible_theme, filler_pattern_theme, print_theme
alt.themes.enable('accessible_theme')

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

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

Getting Help

For bugs and feature requests, please open a Github Issue.