Lect 07: Bipartite Graphs with Networkx ||Bipartite Graphs using Python

Published: 29 May 2022
on channel: Data Science Center
2,426
25

Edges are only allowed across different sets and are not allowed within nodes belonging
to the same set. In most cases, nodes belonging to different sets are also characterized by
particular node types.

from networkx.drawing.layout import bipartite_layout

user = ['A', 'B', 'C', 'D', 'E']
item = [1, 2, 3, 4, 5]
E = zip(np.random.choice(user, 10), np.random.choice(item, 10))

Edge = pd.DataFrame([{"source":user, "target":item} for user, item in E])
G.add_nodes_from(user, bipartite=0)
G.add_nodes_from(item, bipartite=1)

G.add_edges_from(tuple(x) for x in Edge.values)


plt.figure(figsize=(10, 10))
nx.draw_networkx(G, pos, node_size= 1700, edge_color='g', node_color='r', arrowsize=32, font_size=14, with_labels=True)
plt.show()


Watch video Lect 07: Bipartite Graphs with Networkx ||Bipartite Graphs using Python online, duration hours minute second in high quality that is uploaded to the channel Data Science Center 29 May 2022. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 2,426 times and liked it 25 visitors.