removed SinePlot and and added general selection sensitive function thingy

system/plots.py

@@ -253,7 +253,9 @@ class Plot (gtk.Frame):
         return self.title
 
     def selection_changed(self, selection):
-        pass
+        if not self._sel_sensitive or not self.get_property('visible'):
+            return
+        self.set_current_selection(selection)
 
     def set_selection_listener(self, listener):
         """Allow project to listen to selections.
@@ -267,6 +269,7 @@ class Plot (gtk.Frame):
     def get_toolbar(self):
         return None
 
+
 class EmptyView (Plot):
     def __init__(self):
         Plot.__init__(self, 'Empty view')
@@ -391,25 +394,6 @@ class PlotToolbar(NavToolbar):
         self.insert(toolitem, -1)
         self.show_all()
         self.message.hide()
-        
-class SinePlot(Plot):
-    def __init__(self):
-        Plot.__init__(self, 'Sine plot')
-
-        fig = Figure(figsize=(5,4), dpi=72)
-        ax = fig.add_subplot(111)
-        t = arange(0.0,3.0,0.01)
-        s = sin(2*pi*t)
-        ax.plot(t,s)
-
-        self.canvas = FigureCanvas(fig)
-        self._toolbar = NavToolbar(self.canvas, None)
-        self._toolbar.set_property('show-arrow', False)
-        self.add(self.canvas)
-        self.canvas.show()
-
-    def get_toolbar(self):
-        return self._toolbar
 
 
 class LineViewPlot(Plot):
@@ -461,9 +445,7 @@ class LineViewPlot(Plot):
     def clear_background(self,event):
         self._background = None
         
-    def selection_changed(self, selection):
+    def set_current_selection(self, selection):
-        if not self._sel_sensitive:
-            return
         ids = selection[self.current_dim] # current identifiers
         index = self.dataset.get_indices(self.current_dim, ids)
         if self.use_blit:
@@ -548,9 +530,7 @@ has no color and size options."""
         ids = self.dataset_1.get_identifiers(self.current_dim, index)
         self.selection_listener(self.current_dim, ids)
 
-    def selection_changed(self, selection):
+    def set_current_selection(self, selection):
-        if not self._sel_sensitive:
-            return
         ids = selection[self.current_dim] # current identifiers
         index = self.dataset_1.get_indices(self.current_dim, ids)
         xdata_new = scipy.take(self.xaxis_data, index) #take data
@@ -568,27 +548,23 @@ has no color and size options."""
     def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2,c='b',s=30, name="Scatter plot"):
         Plot.__init__(self, name)
         self.ax = ax = self.fig.add_subplot(111)
-        #self.ax.set_position([0.01,0.01,.99,.99])
         self.current_dim = id_dim
         self.dataset_1 = dataset_1
-        
         x_index = dataset_1[sel_dim][id_1]
         y_index = dataset_2[sel_dim][id_2]
-        
         self.xaxis_data = dataset_1._array[:,x_index]
         self.yaxis_data = dataset_2._array[:,y_index]
-        
+        lw = scipy.zeros(self.xaxis_data.shape,'f')
-        ax.scatter(self.xaxis_data,self.yaxis_data,s=s,c=c,faceted=False,edgecolor='k',alpha=.6,cmap = cm.Set1)
+        ax.scatter(self.xaxis_data,self.yaxis_data,s=s,c=c,linewidth=lw,edgecolor='k',alpha=.6,cmap = cm.Set1)
         ax.set_title(self.get_title())
-        #ax.set_xlabel("%s - %s" % (sel_dim, id_1))
-        #ax.set_ylabel("%s - %s" % (sel_dim, id_2))
-
         # collection
         self.coll = ax.collections[0]
-        ###
+
+        # add canvas to widget
         self.add(self.canvas)
         self.canvas.show()
 
+        # create toolbar
         self._toolbar = PlotToolbar(self.canvas, None)
         self._toolbar.chk.connect ('toggled' ,self.set_selection_sensitive)
         self._toolbar.set_select_callback(self.rectangle_select_callback)
@@ -613,14 +589,12 @@ has no color and size options."""
         ids = self.dataset_1.get_identifiers(self.current_dim, index)
         self.selection_listener(self.current_dim, ids)
 
-    def selection_changed(self, selection):
+    def set_current_selection(self, selection):
-        if not self._sel_sensitive:
-            return
         ids = selection[self.current_dim] # current identifiers
         index = self.dataset_1.get_indices(self.current_dim, ids)
         lw = scipy.zeros(self.xaxis_data.shape,'f')
-        zo = lw.copy() + 1 #z-order
         scipy.put(lw,index,2.)
+        zo = lw.copy() + 1 #z-order, selected on top
         self.coll.set_linewidth(lw)
         self.coll.set_zorder(zo)
         self._toolbar.forward() #update data lims before draw
@@ -711,7 +685,7 @@ class NetworkPlot(Plot):
         ids = [node_ids[i] for i in index]
         self.selection_listener(self.dataset.get_dim_name(0), ids)
 
-    def selection_changed(self, selection):
+    def set_current_selection(self, selection):
         ids = selection[self.dataset.get_dim_name(0)] # current identifiers
         node_set = set(self.graph.nodes())