This release is a pre-release and may not be stable for production use.
# 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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