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An IPython/Jupyter notebook widget for quick visualization of Pandas dataframes

Project description

# autovega

autovega is an IPython/Jupyter notebook widget for quick visualization of Pandas dataframes using [Vega](https://vega.github.io/) and [Altair](https://altair-viz.github.io/).

## Usage

Import autovega and call register_renderer at the top of your notebook.

`python import autovega autovega.register_renderer() `

Now, whenever Jupyter displays a dataframe, it will also render a GUI for choosing one of several plot types and encodings.

Alternatively, to use the widget selectively (without registering it as the default dataframe renderer in Jupyter), use the display_dataframe function to wrap your dataframes.

`python autovega.display_dataframe(df) `

## Installation

Follow [Altair’s instructions](https://altair-viz.github.io/getting_started/installation.html) for installing and configuring altair and vega3. Then install autovega:

`bash pip install autovega `

Or, for the development version:

`bash pip install -e git+https://github.com/baldwint/autovega.git#egg=autovega `

## Prior Art

This module is inspired by [autovizwidget](https://github.com/jupyter-incubator/sparkmagic/tree/master/autovizwidget), which provides a similar functionality using Plotly as backend.

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