I thought I'd share a solution to the draggable legend problem since it took me forever to assimilate all the scattered knowledge on the mailing lists...
class DraggableLegend: def __init__(self, legend): self.legend = legend self.gotLegend = False legend.figure.canvas.mpl_connect('motion_notify_event', self.on_motion) legend.figure.canvas.mpl_connect('pick_event', self.on_pick) legend.figure.canvas.mpl_connect('button_release_event', self.on_release) legend.set_picker(self.my_legend_picker) def on_motion(self, evt): if self.gotLegend: dx = evt.x - self.mouse_x dy = evt.y - self.mouse_y loc_in_canvas = self.legend_x + dx, self.legend_y + dy loc_in_norm_axes = self.legend.parent.transAxes.inverted().transform_point(loc_in_canvas) self.legend._loc = tuple(loc_in_norm_axes) self.legend.figure.canvas.draw() def my_legend_picker(self, legend, evt): return self.legend.legendPatch.contains(evt) def on_pick(self, evt): legend = self.legend if evt.artist == legend: bbox = self.legend.get_window_extent() self.mouse_x = evt.mouseevent.x self.mouse_y = evt.mouseevent.y self.legend_x = bbox.xmin self.legend_y = bbox.ymin self.gotLegend = 1 def on_release(self, event): if self.gotLegend: self.gotLegend = False #...and in your code... def draw(self): ax = self.figure.add_subplot(111) scatter = ax.scatter(np.random.randn(100), np.random.randn(100)) legend = DraggableLegend(ax.legend()) ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users