是否可以在散景中渲染后将边/节点信息返回到python？

Question

我用这段代码绘制了网络图。到目前为止，我已经看到了在点击或悬停时更改图形属性的方法。但是现在我想在点击时记录对象信息，例如：如果我点击边缘，我想返回python边缘细节进行一些处理。

import networkx as nx

from bokeh.io import show, output_file
from bokeh.models import Plot, Range1d, MultiLine, Circle, HoverTool, TapTool, BoxSelectTool
from bokeh.models.graphs import from_networkx, NodesAndLinkedEdges, EdgesAndLinkedNodes
from bokeh.palettes import Spectral4

G=nx.karate_club_graph()

plot = Plot(plot_width=400, plot_height=400,
            x_range=Range1d(-1.1,1.1), y_range=Range1d(-1.1,1.1))
plot.title.text = "Graph Interaction Demonstration"

plot.add_tools(HoverTool(tooltips=None), TapTool(), BoxSelectTool())

graph_renderer = from_networkx(G, nx.circular_layout, scale=1, center=(0,0))

graph_renderer.node_renderer.glyph = Circle(size=15, fill_color=Spectral4[0])
graph_renderer.node_renderer.selection_glyph = Circle(size=15, fill_color=Spectral4[2])
graph_renderer.node_renderer.hover_glyph = Circle(size=15, fill_color=Spectral4[1])

graph_renderer.edge_renderer.glyph = MultiLine(line_color="#CCCCCC", line_alpha=0.8, line_width=5)
graph_renderer.edge_renderer.selection_glyph = MultiLine(line_color=Spectral4[2], line_width=5)
graph_renderer.edge_renderer.hover_glyph = MultiLine(line_color=Spectral4[1], line_width=5)

graph_renderer.selection_policy = NodesAndLinkedEdges()
graph_renderer.inspection_policy = EdgesAndLinkedNodes()

plot.renderers.append(graph_renderer)

output_file("interactive_graphs.html")
show(plot)

Answer 1

此代码使用TapTool回调显示所选边的选定索引和开始/结束节点（点击节点以首先进行选择）。代码适用于Bokeh v1.1.0

import networkx as nx

from bokeh.io import show, output_file
from bokeh.models import Plot, Range1d, MultiLine, Circle, HoverTool, TapTool, BoxSelectTool, CustomJS, Column, TextInput
from bokeh.models.graphs import from_networkx, NodesAndLinkedEdges, EdgesAndLinkedNodes
from bokeh.palettes import Spectral4
from bokeh.models.widgets.inputs import TextInput

G = nx.karate_club_graph()

plot = Plot(plot_width = 400, plot_height = 400,
            x_range = Range1d(-1.1, 1.1), y_range = Range1d(-1.1, 1.1))
plot.title.text = "Graph Interaction Demonstration"

plot.add_tools(HoverTool(tooltips = [('index', '$index'), ('start', '@start'), ('end', '@end')]), TapTool(), BoxSelectTool())

graph_renderer = from_networkx(G, nx.circular_layout, scale = 1, center = (0, 0))

graph_renderer.node_renderer.glyph = Circle(size = 15, fill_color = Spectral4[0])
graph_renderer.node_renderer.selection_glyph = Circle(size = 15, fill_color = Spectral4[2])
graph_renderer.node_renderer.hover_glyph = Circle(size = 15, fill_color = Spectral4[1])

graph_renderer.edge_renderer.glyph = MultiLine(line_color = "#CCCCCC", line_alpha = 0.8, line_width = 5)
graph_renderer.edge_renderer.selection_glyph = MultiLine(line_color = Spectral4[2], line_width = 5)
graph_renderer.edge_renderer.hover_glyph = MultiLine(line_color = Spectral4[1], line_width = 5)

graph_renderer.selection_policy = NodesAndLinkedEdges()
graph_renderer.inspection_policy = EdgesAndLinkedNodes()

plot.renderers.append(graph_renderer)

info_indices = TextInput(title = 'Selected indices:', value = '')
info_start_end = TextInput(title = 'Start => End Values:', value = '')
esource = graph_renderer.edge_renderer.data_source
code = """  info_indices.value = String(esource.selected.indices);
            start_end_values = []
            for(idx in esource.selected.indices)
            {
                index = esource.selected.indices[idx]
                start_end_values.push(esource.data['start'][index] + '=>' + esource.data['end'][index] )
            }
            info_start_end.value = String(start_end_values); """

callback = CustomJS(args = dict(esource = esource, 
                                info_indices = info_indices, 
                                info_start_end = info_start_end), 
                    code = code)
plot.select_one(TapTool).callback = callback

show(Column(plot, info_start_end))

结果：