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