Toy graphs

This notebook shows how to load some toy graphs.

[1]:

from IPython.display import SVG

[2]:

import numpy as np

[3]:

from sknetwork.data import house, bow_tie, karate_club, miserables, painters, hourglass, star_wars, movie_actor
from sknetwork.visualization import visualize_graph, visualize_bigraph

House graph

[4]:

graph = house(metadata=True)
adjacency = graph.adjacency
position = graph.position

[5]:

image = visualize_graph(adjacency, position, scale=0.5)
SVG(image)

[5]:

../../_images/tutorials_data_toy_graphs_7_0.svg

[6]:

# adjacency matrix only
adjacency = house()

Bow tie

[7]:

graph = bow_tie(metadata=True)
adjacency = graph.adjacency
position = graph.position

[8]:

image = visualize_graph(adjacency, position, scale=0.5)

[9]:

SVG(image)

[9]:

../../_images/tutorials_data_toy_graphs_12_0.svg

Karate club

[10]:

graph = karate_club(metadata=True)
adjacency = graph.adjacency
position = graph.position
labels = graph.labels

[11]:

image = visualize_graph(adjacency, position, labels=labels)
SVG(image)

[11]:

../../_images/tutorials_data_toy_graphs_15_0.svg

Les Miserables

[12]:

graph = miserables(metadata=True)
adjacency = graph.adjacency
position = graph.position
names = graph.names

[13]:

image = visualize_graph(adjacency, position, names, scale=2)
SVG(image)

[13]:

../../_images/tutorials_data_toy_graphs_18_0.svg

Painters

[14]:

graph = painters(metadata=True)
adjacency = graph.adjacency
names = graph.names
position = graph.position

[15]:

image = visualize_graph(adjacency, position, names)
SVG(image)

[15]:

../../_images/tutorials_data_toy_graphs_21_0.svg

Star wars

[16]:

# bipartite graph
graph = star_wars(metadata=True)
biadjacency = graph.biadjacency
names_row = graph.names_row
names_col = graph.names_col

[17]:

image = visualize_bigraph(biadjacency, names_row, names_col)
SVG(image)

[17]:

[18]:

# biadjacency matrix only
biadjacency = star_wars()

Movie-actor

[19]:

# bipartite graph
graph = movie_actor(metadata=True)
biadjacency = graph.biadjacency
names_row = graph.names_row
names_col = graph.names_col

[20]:

image = visualize_bigraph(biadjacency, names_row, names_col)
SVG(image)

[20]:

../../_images/tutorials_data_toy_graphs_28_0.svg