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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def draw_panel(self, data, panel_params, coord, ax, **params):
 """ Plot all groups For effeciency, geoms that do not need to partition different groups before plotting should override this method and avoid the groupby. Parameters data : dataframe Data to be plotted by this geom. This is the dataframe created in the plot_build pipeline. panel_params : dict The scale information as may be required by the axes. At this point, that information is about ranges, ticks and labels. Keys of interest to the geom are:: 'x_range' # tuple 'y_range' # tuple coord : coord Coordinate (e.g. coord_cartesian) system of the geom. ax : axes Axes on which to plot. params : dict Combined parameters for the geom and stat. Also includes the 'zorder'. """

        for _, gdata in data.groupby('group'):
            gdata.reset_index(inplace=True, drop=True)
            self.draw_group(gdata, panel_params, coord, ax, **params)