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    "info": {
        "author": "Tom Baldwin",
        "author_email": "baldwint@baldwint.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Framework :: IPython",
            "Framework :: Jupyter",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Visualization"
        ],
        "description": "# autovega\n\n`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/).\n\n## Usage\n\nImport autovega and call `register_renderer` at the top of your notebook.\n\n```python\nimport autovega\nautovega.register_renderer()\n```\n\nNow, whenever Jupyter displays a dataframe, it will also render a GUI for choosing one of several plot types and encodings.\n\nAlternatively, to use the widget selectively (without registering it as the default dataframe renderer in Jupyter), use the `display_dataframe` function to wrap your dataframes.\n\n```python\nautovega.display_dataframe(df)\n```\n\n## Installation\n\nFollow [Altair's instructions](https://altair-viz.github.io/getting_started/installation.html) for installing and configuring `altair` and `vega3`. Then install autovega:\n\n```bash\npip install autovega\n```\n\nOr, for the development version:\n\n```bash\npip install -e git+https://github.com/baldwint/autovega.git#egg=autovega\n```\n\n## Prior Art\n\nThis 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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        "license": "BSD 3-clause",
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        "name": "autovega",
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        "summary": "An IPython/Jupyter notebook widget for quick visualization of Pandas dataframes",
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