def plot(self, xs, ys, *args, zdir='z', axlim_clip=False, data=None, **kwargs):
        """
        Plot 2D or 3D data.

        Parameters
        ----------
        xs : 1D array-like
            x coordinates of vertices.
        ys : 1D array-like
            y coordinates of vertices.
        zs : float or 1D array-like
            z coordinates of vertices; either one for all points or one for
            each point.
        zdir : {'x', 'y', 'z'}, default: 'z'
            When plotting 2D data, the direction to use as z.
        axlim_clip : bool, default: False
            Whether to hide data that is outside the axes view limits.

            .. versionadded:: 3.10
        data : indexable object, optional
            An object with labelled data. If given, provide the label names to
            plot in *x*, *y* and *z*.
        **kwargs
            Other arguments are forwarded to `matplotlib.axes.Axes.plot`.
        """
        had_data = self.has_data()
        # Use data parameter like 2d plot.
        if data:
            xs=data[xs]
            ys=data[ys]
            if 'zs' in kwargs:
                zs=kwargs.pop('zs')
            else:
                zs,*args=  args
            zs=data[zs]
        # `zs` can be passed positionally or as keyword; checking whether
        # args[0] is a string matches the behavior of 2D `plot` (via
        # `_process_plot_var_args`).
        elif args and not isinstance(args[0], str):
            zs, *args = args
            if 'zs' in kwargs:
                raise TypeError("plot() for multiple values for argument 'zs'")
        else:
            zs = kwargs.pop('zs', 0)

        xs, ys, zs = cbook._broadcast_with_masks(xs, ys, zs)
        lines = super().plot(xs, ys, *args, **kwargs)
        for line in lines:
            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir, axlim_clip=axlim_clip)

        xs, ys, zs = art3d.juggle_axes(xs, ys, zs, zdir)
        self.auto_scale_xyz(xs, ys, zs, had_data)
        return lines

@check_figures_equal()
def test_plot_data(fig_test, fig_ref):
    ax1 = fig_test.add_subplot(projection='3d')
    ax1.plot('x','y','r',data=dict(x=[1,2,3],y=[4,5,6],r=[7,8,9]))
    ax2 = fig_ref.add_subplot(projection='3d')
    ax2.plot([1,2,3],[4,5,6],[7,8,9])