Fixed drag'n'drop of datasets to DAG-plots to convert inf/-inf to

maximum/minimum values of the dataset.

workflows/gobrowser.py

@@ -1,6 +1,6 @@
 
 import gtk
-from fluents import dataset, logger, plots, workflow, fluents, project
+from fluents import dataset, logger, plots, workflow, fluents, project, view
 import geneontology
 from matplotlib.nxutils import points_inside_poly
 import matplotlib
@@ -553,6 +553,7 @@ class DagPlot(plots.Plot):
                  with_labels=False, name='DAG Plot'):
 
         plots.Plot.__init__(self, name)
+        self._add_ic_spin_button()
         self.nodes = graph.nodes()
         self.graph = graph
         self._pos = pos
@@ -617,6 +618,25 @@ class DagPlot(plots.Plot):
         self.axes.set_frame_on(False)
         self.fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
 
+    def _add_ic_spin_button(self):
+        sb = gtk.SpinButton()
+        sb.set_range(0, 100)
+        sb.set_value(1)
+        sb.set_increments(1, 3)
+        label = gtk.Label("IC > ")
+        hbox = gtk.HBox()
+        hbox.pack_start(label)
+        hbox.pack_start(sb)
+        ti = gtk.ToolItem()
+        ti.set_expand(False)
+        ti.add(hbox)
+        sb.show()
+        label.show()
+        hbox.show()
+        ti.show()
+        self._toolbar.insert(ti, -1)
+        ti.set_tooltip(self._toolbar.tooltips, "Set information content threshold")
+        
     def _calc_pos(self, graph):
         """Calculates position for graph nodes."""
         gv_graph = networkx.DiGraph()
@@ -704,7 +724,13 @@ class DagPlot(plots.Plot):
 
         indices = ds.get_indices(self.current_dim, self.nodes)
         nodes = ds.existing_identifiers(self.current_dim, self.nodes)
+
         v = vec.take(indices, 0)
+        vec_min = min(v[v > -inf])
+        vec_max = max(v[v < inf])
+        v[v==inf] = vec_max
+        v[v==-inf] = vec_min
+
         d = dict(zip(nodes, list(v))) 
 
         map_vec = zeros(len(self.nodes))