Added selection of lines in network plot
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@ -6,9 +6,10 @@ from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
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from matplotlib.nxutils import points_inside_poly
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from matplotlib.figure import Figure
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from matplotlib.collections import LineCollection
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from matplotlib.patches import Polygon,Rectangle, Circle
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from matplotlib.patches import Polygon,Rectangle,Circle
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from matplotlib.lines import Line2D
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from matplotlib.mlab import prctile
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from matplotlib.colors import ColorConverter
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import networkx
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import scipy
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@ -604,7 +605,10 @@ class NetworkPlot(Plot):
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self.yaxis_data = self._xy[:,1]
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# Initial draw
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self.default_props = {'nodesize': 50, 'nodecolor':'gray'}
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self.default_props = {'nodesize' : 50,
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'nodecolor' : 'gray',
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'edge_color' : (.5, .5, .5, 1),
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'edge_color_selected' : (1,0,0,1)}
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self.node_collection = None
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self.edge_collection = None
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self.node_labels = None
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@ -614,8 +618,9 @@ class NetworkPlot(Plot):
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c=self._nodecolor,
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linewidth=lw,
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zorder=3)
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# selected nodes is a transparent graph that adjust edge-visibility
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# according to the current selection
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# selected nodes is a transparent graph that adjust node-edge visibility
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# according to the current selection needed to get get the selected
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# nodes 'on top' as zorder may not be defined individually
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self.selected_nodes = self.axes.scatter(self.xaxis_data,
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self.yaxis_data,
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s=self._nodesize,
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@ -624,10 +629,15 @@ class NetworkPlot(Plot):
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zorder=4,
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alpha=0)
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edge_color = self.default_props['edge_color']
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self.edge_collection = networkx.draw_networkx_edges(self.graph,
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self._pos,
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ax=self.axes,
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edge_color='gray')
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edge_color=edge_color)
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# edge color rgba-array
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self._edge_color_rgba = scipy.repmat(ColorConverter().to_rgba(edge_color),
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self.graph.number_of_edges(),1)
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self._edge_color_selected = ColorConverter().to_rgba(self.default_props['edge_color_selected'])
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if self._with_labels:
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self.node_labels = networkx.draw_networkx_labels(self.graph,
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self._pos,
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@ -665,10 +675,19 @@ class NetworkPlot(Plot):
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self.selection_listener(self.current_dim, ids)
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def set_current_selection(self, selection):
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linewidth = scipy.zeros(self.xaxis_data.shape, 'f')
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linewidth = scipy.zeros(self.xaxis_data.shape)
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edge_color_rgba = self._edge_color_rgba.copy()
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index = self.get_index_from_selection(self.dataset, selection)
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if len(index) > 0:
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linewidth.put(2, index)
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idents = selection[self.current_dim]
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edge_index = [i for i,edge in enumerate(self.graph.edges()) if (edge[0] in idents and edge[1] in idents)]
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if len(edge_index)>0:
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for i in edge_index:
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edge_color_rgba[i,:] = self._edge_color_selected
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self._A = None
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self.edge_collection._colors = edge_color_rgba
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self.selected_nodes.set_linewidth(linewidth)
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self.canvas.draw()
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