<｜begin▁of▁sentence｜>### Instruction:
As a Veterinary Technician working in a veterinary clinic, you assist veterinarians in providing care to various animals. One of your tasks involves managing data related to the animals' health and treatments. Now, if you are using a tool like the networkx Python library to represent the bipartite relationships between animals and treatments, how can you extract a comprehensive list of all attributes associated with the animal vertices in the graph?
### Response:
import igraph as ig

# Create a bipartite graph
g = ig.Graph.Bipartite(types=[True, False], edges=[(0, 1), (0, 2)])

# Add vertex attributes
g.vs['label'] = ['v0', 'v1', 'v2']
g.vs['weight'] = [1.0, 2.0, 3.0]

# Print all vertex attributes
g_vertex_attributes = g.vertex_attributes()
print(g_vertex_attributes)
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