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])