Lecture "Organising information: graphs", exercise 2

[essepuntato]

Create a directed graph that relates the actors Brad Pitt, Eva Green, George Clooney, Catherine Zeta-Jones, Johnny Depp, and Helena Bonham Carter to the following movies: Ocean's Twelve, Fight Club, Dark Shadows.

[frammenti]

import networkx as nx

G = nx.DiGraph()

G.add_nodes_from([
    "Ocean's Twelve", "Fight Club", "Dark Shadows",
    "Brad Pitt", "Eva Green", "George Clooney",
    "Catherine Zeta-Jones", "Johnny Depp", "Helena Bonham Carter",
    ])
G.add_edges_from([
    ("George Clooney", "Ocean's Twelve"), ("Brad Pitt", "Ocean's Twelve"), ("Catherine Zeta-Jones", "Ocean's Twelve"),
    ("Brad Pitt", "Fight Club"), ("Helena Bonham Carter", "Fight Club"),
    ("Johnny Depp", "Dark Shadows"), ("Eva Green", "Dark Shadows"), ("Helena Bonham Carter", "Dark Shadows"),
    ])

print(G.reverse().adj["Ocean's Twelve"])
# {'Brad Pitt': {}, 'George Clooney': {}, 'Catherine Zeta-Jones': {}}
print(G.reverse().adj["Fight Club"])
# {'Brad Pitt': {}, 'Helena Bonham Carter': {}}
print(G.reverse().adj["Dark Shadows"])
# {'Eva Green': {}, 'Johnny Depp': {}, 'Helena Bonham Carter': {}}

[Liber-R]

[Chiaramartina]

[simocasaz]

from networkx import MultiDiGraph

my_graph = MultiDiGraph()

my_graph.add_node(1, type = "movie", title = "Ocean's Twelve")
my_graph.add_node(2, type = "movie", title = "Fight Club")
my_graph.add_node(3, type = "movie", title = "Dark Shadows")
my_graph.add_node(4, type = "actor", name = "Brad", surname = "Pitt")
my_graph.add_node(5, type = "actor", name = "Eva", surname = "Green")
my_graph.add_node(6, type = "actor", name = "George", surname = "Clooney")
my_graph.add_node(7, type = "actor", name = "Catherine", surname = "Zeta-Jones")
my_graph.add_node(8, type = "actor", name = "Johnny", surname = "Depp")
my_graph.add_node(9, type = "actor", name = "Helena", surname = "Bonham Carter")

my_graph.add_edge(4, 1, relation = "starred in")
my_graph.add_edge(1, 4, relation = "has in the cast")
my_graph.add_edge(4, 2, relation = "starred in")
my_graph.add_edge(2, 4, relation = "has in the cast")
my_graph.add_edge(5, 3, relation = "starred in")
my_graph.add_edge(3, 5, relation = "has in the cast")
my_graph.add_edge(6, 1, relation = "starred in")
my_graph.add_edge(1, 6, relation = "has in the cast")
my_graph.add_edge(7, 1, relation = "starred in")
my_graph.add_edge(1, 7, relation = "has in the cast")
my_graph.add_edge(8, 3, relation = "starred in")
my_graph.add_edge(3, 8, relation = "has in the cast")
my_graph.add_edge(9, 2, relation = "starred in")
my_graph.add_edge(2, 9, relation = "has in the cast")
my_graph.add_edge(9, 3, relation = "starred in")
my_graph.add_edge(3, 9, relation = "has in the cast")

[qwindici]

from networkx import DiGraph

films = {
    "Ocean's Twelve": ["Catherine Zeta-Jones", "George Clooney", "Brad Pitt"],
    "Fight Club": ["Brad Pitt", "Helena Bonham Carter"],
    "Dark Shadows": ["Johnny Depp", "Helena Bonham Carter", "Eva Green"],
}

starred_in = DiGraph()

for film in films:
    starred_in.add_node(film)
    for actor in films[film]:
        starred_in.add_node(actor)
        starred_in.add_edge(film, actor, relationship='starring')