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Altair v4.0.0 Release Notes

Release Date: 2019-12-11 // over 4 years ago

  • 🚀 Altair Version 4.0.0 release

    🔖 Version 4.0.0 is based on Vega-Lite version 4.0, which you can read about at
    🚀 https://github.com/vega/vega-lite/releases/tag/v4.0.0.

    ✅ It is the first version of Altair to drop Python 2 compatibility, and is tested
    on Python 3.5 and newer.

    ✨ Enhancements

    👌 Support for interactive legends: (Example)
    interactive legend

    📱 Responsive chart width and height: (Example)
    dynamic width

    📱 Bins responsive to selections: (Example)
    📱 responsive bin

    🆕 New pivot transform: (Example)
    pivot

    🆕 New Regression transform: (Example)
    regression

    🆕 New LOESS transform: (Example)
    loess

    🆕 New density transform: (Example)
    density

    Image mark (Example)
    image

    🆕 New default html renderer, directly compatible with Jupyter Notebook and
    JupyterLab without the need for frontend extensions, as well as tools like
    nbviewer and nbconvert, and related notebook environments such as Zeppelin,
    0️⃣ Colab, Kaggle Kernels, and DataBricks. To enable the old default renderer, use:

    alt.renderers.enable('mimetype')

    👌 Support per-corner radius for bar marks: (Example)
    round-bar

    Grammar Changes

    Sort-by-field can now use the encoding name directly. So instead of

    alt.Y('y:Q', sort=alt.EncodingSortField('x_field', order='descending'))

    you can now use::

    alt.Y('y:Q', sort="-x")

    🔧 The rangeStep argument to :class:Scale and :meth:Chart.configure_scale is deprecated.
    instead, use chart.properties(width={"step": rangeStep}) or
    🔧 chart.configure_view(step=rangeStep).

    align, center, spacing, and columns are no longer valid chart properties, but
    🚚 are moved to the encoding classes to which they refer.