:orphan:
:html_theme.sidebar_secondary.remove:

.. This document is auto-generated by the altair-gallery extension. Do not modify directly.

.. _gallery_radial_chart:


Radial Chart
------------
This radial plot uses both angular and radial extent to convey multiple dimensions of data.
This is adapted from a corresponding Vega-Lite Example:
`Radial Plot <https://vega.github.io/vega-lite/examples/arc_radial.html>`_.


.. altair-plot::
    :remove-code:
    



    import pandas as pd
    import altair as alt

    source = pd.DataFrame({"values": [12, 23, 47, 6, 52, 19]})

    base = alt.Chart(source).encode(
        theta=alt.Theta("values:Q", stack=True),
        radius=alt.Radius("values", scale=alt.Scale(type="sqrt", zero=True, rangeMin=20)),
        color="values:N",
    )

    c1 = base.mark_arc(innerRadius=20, stroke="#fff")

    c2 = base.mark_text(radiusOffset=10).encode(text="values:Q")

    c1 + c2


.. tab-set::

    .. tab-item:: Method syntax
        :sync: method

        .. code:: python



            import pandas as pd
            import altair as alt

            source = pd.DataFrame({"values": [12, 23, 47, 6, 52, 19]})

            base = alt.Chart(source).encode(
                alt.Theta("values:Q").stack(True),
                alt.Radius("values").scale(type="sqrt", zero=True, rangeMin=20),
                color="values:N",
            )

            c1 = base.mark_arc(innerRadius=20, stroke="#fff")

            c2 = base.mark_text(radiusOffset=10).encode(text="values:Q")

            c1 + c2


    .. tab-item:: Attribute syntax
        :sync: attribute

        .. code:: python



            import pandas as pd
            import altair as alt

            source = pd.DataFrame({"values": [12, 23, 47, 6, 52, 19]})

            base = alt.Chart(source).encode(
                theta=alt.Theta("values:Q", stack=True),
                radius=alt.Radius("values", scale=alt.Scale(type="sqrt", zero=True, rangeMin=20)),
                color="values:N",
            )

            c1 = base.mark_arc(innerRadius=20, stroke="#fff")

            c2 = base.mark_text(radiusOffset=10).encode(text="values:Q")

            c1 + c2