network_graph.py¶
A demonstration of NetworkX integration for drawing network graphs.
Details
- Bokeh APIs
- More info
- Keywords
graph, hover, networkx, tooltip
import networkx as nx
from bokeh.models import Circle, MultiLine
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 = Circle(size=15, fill_color="lightblue")
graph_renderer.edge_renderer.glyph = MultiLine(line_color="edge_color",
line_alpha=0.8, line_width=1.5)
plot.renderers.append(graph_renderer)
show(plot)