单击Bokeh中的彩色网络图节点线，Python

Question

在Bokeh服务器上使用以下代码，我目前能够通过从下拉列表中选择它来将网络图中的选定节点涂成粉红色。

我想做的就是扩展代码，以便允许我在单击节点时使用Taptool()或其他方法执行相同的突出显示回调。这可能吗？

import networkx as nx
from bokeh.models.graphs import from_networkx
from bokeh.models import Range1d, MultiLine, Circle, TapTool, Plot
from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.layouts import row
from bokeh.models.widgets import Dropdown


def choose_node_outline_colors(node_clicked):
    outline_colors = []
    for node in G.nodes():
        if str(node) == node_clicked:
            outline_colors.append('pink')
        else:
            outline_colors.append('black')
    return outline_colors

def update_node_highlight(attrname, old, new):
    node_clicked = dropdown.value
    data['line_color'] = choose_node_outline_colors(node_clicked)

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

# Create nodes and edges
data = graph.node_renderer.data_source.data
data['line_color'] = choose_node_outline_colors('1')
graph.node_renderer.glyph = Circle(size=10, line_color="line_color")
graph.edge_renderer.glyph = MultiLine(line_alpha=1.6, line_width=0.5)

# Add tap tool
plot.add_tools(TapTool())

plot.renderers.append(graph)

# Dropdown menu to highlight a particular node
dropdown = Dropdown(label="Highlight Node", menu=list(map(str, list(G.nodes()))))
dropdown.on_change('value', update_node_highlight)
dropdown.value = '1'

curdoc().add_root(row(plot, dropdown))

Answer 1

好的，我设法使用TapTool并利用节点索引找到了解决方案：

import networkx as nx
from bokeh.models.graphs import from_networkx
from bokeh.models import Range1d, MultiLine, Circle, TapTool, Plot, HoverTool, BoxSelectTool
from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.layouts import row
from bokeh.models.widgets import Dropdown
from bokeh.events import Tap


def choose_node_outline_colors(nodes_clicked):
    outline_colors = []
    for node in G.nodes():
        if str(node) in nodes_clicked:
            outline_colors.append('pink')
        else:
            outline_colors.append('black')
    return outline_colors


def update_node_highlight(event):
    nodes_clicked_ints = source.selected.indices
    nodes_clicked = list(map(str, nodes_clicked_ints))
    source.data['line_color'] = choose_node_outline_colors(nodes_clicked)


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

# Create nodes and edges
source = graph.node_renderer.data_source
source.data['line_color'] = choose_node_outline_colors('1')
graph.node_renderer.glyph = Circle(size=10, line_color="line_color")
graph.edge_renderer.glyph = MultiLine(line_alpha=1.6, line_width=0.5)

# Add tap tool
TOOLTIPS = [
    ("Index", "@index"),
]
plot.add_tools(HoverTool(tooltips=TOOLTIPS), TapTool(), BoxSelectTool())

plot.renderers.append(graph)

taptool = plot.select(type=TapTool)

plot.on_event(Tap, update_node_highlight)

curdoc().add_root(plot)