d the information.
    color : list[str] or tuple[str], optional
        Assign a color to each category. Example: ['blue', 'green'].
    colormap : str or :class:`matplotlib.colors.Colormap`, default None
        Colormap to select colors from. If string, load colormap with that
        name from matplotlib.
    **kwds
        Options to pass to matplotlib scatter plotting method.

    Returns
    -------
    :class:`matplotlib.axes.Axes`

    See Also
    --------
    pandas.plotting.andrews_curves : Plot clustering visualization.

    Examples
    --------

    .. plot::
        :context: close-figs

        >>> df = pd.DataFrame(
        ...     {
        ...         'SepalLength': [6.5, 7.7, 5.1, 5.8, 7.6, 5.0, 5.4, 4.6, 6.7, 4.6],
        ...         'SepalWidth': [3.0, 3.8, 3.8, 2.7, 3.0, 2.3, 3.0, 3.2, 3.3, 3.6],
        ...         'PetalLength': [5.5, 6.7, 1.9, 5.1, 6.6, 3.3, 4.5, 1.4, 5.7, 1.0],
        ...         'PetalWidth': [1.8, 2.2, 0.4, 1.9, 2.1, 1.0, 1.5, 0.2, 2.1, 0.2],
        ...         'Category': [
        ...             'virginica',
        ...             'virginica',
        ...             'setosa',
        ...             'virginica',
        ...             'virginica',
        ...             'versicolor',
        ...             'versicolor',
        ...             'setosa',
        ...             'virginica',
        ...             'setosa'
        ...         ]
        ...     }
        ... )
        >>> pd.plotting.radviz(df, 'Category')  # doctest: +SKIP
    r