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Altair Ally is a companion package to Altair, which provides a few shortcuts to create common plots for exploratory data analysis.

Home Page: https://vega.github.io/altair_ally/

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
altair vega-lite visualization eda exploratory-data-analysis exploratory-data-visualizations

altair_ally's Introduction

Altair Ally

This package is in early development and its API might change without notice.

Altair Ally is a companion package to Altair, which provides a few shortcuts to create common plots for exploratory data analysis (EDA), particularly those involving visualizing an entire dataset. The goal is to encourage good EDA habits by making it quick and simple to create these visualizations, and to provide useful default interactions with the plots.

Thanks to the excellent API in Altair / Vega-Lite, some configuration is possible by using the built-in methods of the returned chart objects, but the general philosophy is that highly customized plots are better made in Altair directly. Check out the examples section to get started and the API reference for all available options.

The package name is a nod to ggally which complements ggplot2 in a similar, but much more extensive manner.

Installation

pip install altair-ally

Documentation

This Jupyter Book contains the documentation with more info and examples.

altair_ally's People

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altair_ally's Issues

Integrate as submodule of altair?

It would be cool if this package's functionality could be made available via a submodule in altair:

from altair import aly

aly.nan()

or maybe:

import altair as alt

alt.aly.nan()

It would put much higher demands on the code quality and stability so less rapid development, but could still be labeled as a more experimental part of the altair package if everything was contained in a submodule/folder. It would increase the visibility of these functions a lot which I think would be useful for many people

Accept `.configure_*` and pass it to each underlying chart

To allow for a minimum level of customization. This largely works already, but need to double check that there are no edge cases or charts constructed a different way that does not allow for it (e.g. the looping). Also add to docs

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