使用不同的宽度绘制bokeh MultiLine

时间:2019-07-02 11:27:07

标签: python bokeh multiline

我想将MultiLine与提供LineWidth的列表一起使用,以便以不同的宽度绘制图形中的每个边。以下是从documentation中提取的简化示例,该示例引发错误。是否可以使用不同宽度的MultiLine?还是您知道另一种绘制宽度不同的图形的方法?

    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
    from bokeh.palettes import Spectral4
    import numpy as np

    G=nx.karate_club_graph()
    ewidth = [np.random.random() for (u, v, d) in G.edges(data=True)]

    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])

    #this works:
    #graph_renderer.edge_renderer.glyph = MultiLine(line_color="#CCCCCC", line_alpha=0.8, line_width=5)

    # this doesnt work:
    graph_renderer.edge_renderer.glyph = MultiLine(line_color="#CCCCCC", line_alpha=0.8, line_width=ewidth)


    plot.renderers.append(graph_renderer)

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

1 个答案:

答案 0 :(得分:1)

找到了答案。对于那些偶然遇到相同问题的人,这里提供了解决方案。您可以使用set_edge_attributes或通过将属性添加到数据源中来实现

graph_renderer.node_renderer.data_source.data['edge_width'] = ...

代码下方:

        import networkx as nx

        from bokeh.io import show
        from bokeh.models import Plot, Range1d, MultiLine, Circle, HoverTool, TapTool, BoxSelectTool
        from bokeh.models.graphs import from_networkx
        from bokeh.palettes import Spectral4
        import numpy as np

        G=nx.karate_club_graph()

        #option 1    
        edge_attrs={}
        for  (u, v, d) in G.edges(data=True):
            edge_attrs[(u, v)] = np.round(np.random.random() ,2)
        nx.set_edge_attributes(G, edge_attrs, "edge_width")
        ###

        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))
        # option 2    
        #graph_renderer.node_renderer.data_source.data['edge_width']=[np.random.random() for (u, v, d) in G.edges(data=True)]
        ###
        graph_renderer.node_renderer.glyph = Circle(size=15, fill_color=Spectral4[0])
        graph_renderer.edge_renderer.glyph = MultiLine(line_color="#CCCCCC", line_alpha=0.8, line_width="edge_width")

        plot.renderers.append(graph_renderer)

        show(plot)