node_and_edge_attributes (original) (raw)

A demonstration of NetworkX integration for drawing network graphs.

Details

Bokeh APIs:

bokeh.plotting.from_networkx

More info:

Network graphs

Keywords:

graph, hover, networkx, tooltip

import networkx as nx

from bokeh.models import MultiLine, Scatter from bokeh.plotting import figure, from_networkx, show

G = nx.karate_club_graph()

SAME_CLUB_COLOR, DIFFERENT_CLUB_COLOR = "darkgrey", "red"

edge_attrs = {} for start_node, end_node, _ in G.edges(data=True): edge_color = SAME_CLUB_COLOR if G.nodes[start_node]["club"] == G.nodes[end_node]["club"] else DIFFERENT_CLUB_COLOR edge_attrs[(start_node, end_node)] = edge_color

nx.set_edge_attributes(G, edge_attrs, "edge_color")

plot = figure(width=400, height=400, x_range=(-1.2, 1.2), y_range=(-1.2, 1.2), x_axis_location=None, y_axis_location=None, toolbar_location=None, title="Graph Interaction Demo", background_fill_color="#efefef", tooltips="index: @index, club: @club") plot.grid.grid_line_color = None

graph_renderer = from_networkx(G, nx.spring_layout, scale=1, center=(0, 0)) graph_renderer.node_renderer.glyph = Scatter(size=15, fill_color="lightblue") graph_renderer.edge_renderer.glyph = MultiLine(line_color="edge_color", line_alpha=1, line_width=2) plot.renderers.append(graph_renderer)

show(plot)