Updated to handle new numpy/scipy.
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@ -13,6 +13,7 @@ from matplotlib.mlab import prctile
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from matplotlib.colors import ColorConverter
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from matplotlib.colors import ColorConverter
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import networkx
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import networkx
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import scipy
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import scipy
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from numpy import matlib
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import fluents
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import fluents
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import logger
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import logger
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@ -692,7 +693,7 @@ class NetworkPlot(Plot):
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ax=self.axes,
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ax=self.axes,
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edge_color=edge_color)
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edge_color=edge_color)
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# edge color rgba-arrays
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# edge color rgba-arrays
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self._edge_color_rgba = scipy.repmat(ColorConverter().to_rgba(edge_color),
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self._edge_color_rgba = matlib.repmat(ColorConverter().to_rgba(edge_color),
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self.graph.number_of_edges(),1)
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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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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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if self._with_labels:
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@ -736,7 +737,7 @@ class NetworkPlot(Plot):
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edge_color_rgba = self._edge_color_rgba.copy()
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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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index = self.get_index_from_selection(self.dataset, selection)
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if len(index) > 0:
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if len(index) > 0:
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linewidth.put(2, index)
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linewidth[index] = 2
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idents = selection[self.current_dim]
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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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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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if len(edge_index)>0:
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